https://en.wikipedia.org/wiki/Generative_adversarial_network
Generative adversarial network - Wikipedia
generativeadversarialnetworkwikipedia
https://marcoamonteiro.github.io/pi-GAN-website/
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
https://phillipi.github.io/pix2pix/
Image-to-Image Translation with Conditional Adversarial Networks
image totranslationconditionaladversarialnetworks
https://gooddivorcect.com/
Home - Connecticut Council for Non-Adversarial Divorce
connecticutcouncilnonadversarialdivorce
https://arxiv.org/abs/1406.2661
[1406.2661] Generative Adversarial Networks
Abstract page for arXiv paper 1406.2661: Generative Adversarial Networks
generativeadversarialnetworks
https://kth.diva-portal.org/smash/record.jsf?faces-redirect=true&language=sv&searchType=SIMPLE&query=&af=%5B%5D&aq=%5B%5B%5D%5D&aq2=%5B%5B%5D%5D&aqe=%5B%5D&pid=diva2%3A1621962&noOfRows=50&sortOrder=author_sort_asc&sortOrder2=title_sort_asc&onlyFullText=false&sf=all
Adversarial Attacks on CFO-Based Continuous Physical Layer Authentication : A Game Theoretic Study
https://par.nsf.gov/biblio/10526708-adversarial-training-should-cast-non-zero-sum-game
Adversarial Training Should Be Cast as a Non-Zero-Sum Game | NSF Public Access Repository
This page contains metadata information for the record with PAR ID 10526708
https://research.google/pubs/adversarial-attacks-in-multimodal-systems-a-practitioners-survey/
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey
adversarial attacksmultimodalsystemspractitionersurvey
https://dspace.mit.edu/handle/1721.1/152098?show=full
Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models
temporal dynamicsadversarial attacksaware
https://huggingface.co/papers/2605.03042
Paper page - ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration
Join the discussion on this paper page
paper pageautonomous researchmulti agentarisvia
https://scholars.cityu.edu.hk/en/publications/deebbaa-a-benchmark-deep-black-box-adversarial-attack-against-cyb/
DeeBBAA: A Benchmark Deep Black-Box Adversarial Attack Against Cyber-Physical Power Systems -...
https://csrc.nist.gov/News/2025/nist-ai-100-2-adversarial-machine-learning-taxonom
NIST AI 100-2 | Adversarial Machine Learning Taxonomy | CSRC
NIST has published NIST AI 100-2e2025, Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations.
adversarial machine learningnistaitaxonomycsrc
https://kanubalad.github.io/archive/trash/2017-09-14-gan-keynotes.html
Generative Adversarial Nets - Deborah Dormah Kanubala's Website
generativeadversarialnetsdeborah
https://infoscience.epfl.ch/entities/publication/45aa705d-1fbc-45d0-9667-45094c69f5d1/conferencedetails
Bilinear Multimodal Discriminator for Adversarial Domain Adaptation with Privileged Information
Over the past few years, deep Convolutional Neural Networks have shown outstanding performance on semantic segmentation, which is an essential tool needed by...
domain adaptationmultimodaladversarialprivilegedinformation
https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6867
Text-Independent Speaker Verification With Adversarial Learning On Short Utterances | IEEETV
A text-independent speaker verification system suffers severe performance degradation under short utterance condition. To address the problem, in this paper,...
textindependentspeakerverification
https://infoscience.epfl.ch/entities/publication/a55efcfa-9f66-43ad-b987-c32fc9727ada/statistics
Fast Adversarial Training With Adaptive Step Size
While adversarial training and its variants have shown to be the most effective algorithms to defend against adversarial attacks, their extremely slow training...
adversarial trainingfastadaptivestepsize
https://par.nsf.gov/biblio/10276262
MaxUp: Lightweight Adversarial Training with Data Augmentation Improves Neural Network Training |...
This page contains metadata information for the record with PAR ID 10276262
adversarial trainingdata augmentationlightweightimprovesneural
https://www.cs.ucr.edu/~trentj/papers/sosr17-abstract.html
Adversarial Network Forensics in Software Defined Networking
network forensicssoftware definedadversarialnetworking
https://scholars.duke.edu/publication/1640749
Scholars@Duke publication: Vehicle Trajectory Prediction Using Generative Adversarial Network with...
scholarsdukepublicationvehicletrajectory
https://research.ibm.com/publications/multi-cycle-consistent-adversarial-networks-for-ct-image-denoising
Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising for ISBI 2020 - IBM Research
Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising for ISBI 2020 by Jinglan Liu et al.
https://research.ibm.com/publications/expressive-1-lipschitz-neural-networks-for-robust-multiple-graph-learning-against-adversarial-attacks
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial...
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks for ICML 2021 by Xin Zhao et al.
neural networks
https://github.com/Xuanmeng-Zhang/MVCGAN
GitHub - Xuanmeng-Zhang/MVCGAN: [CVPR2022] Multi-View Consistent Generative Adversarial Networks...
[CVPR2022] Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis - Xuanmeng-Zhang/MVCGAN
multi viewgithubzhang
https://www.fordham.edu/gabelli-school-of-business/faculty/research-centers/center-for-professional-accounting-practices/news-and-events/future-events/the-international-conference-on-cyber-security/defending-against-deepfakes-the-future-of-adversarial-media-detection/
Defending Against Deepfakes: The Future of Adversarial Media Detection | Fordham
the future ofdefendingdeepfakesadversarialmedia
https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0396981
Adversarial deep learning on digital media security and forensics - UBC Library Open Collections
Learning, knowledge, research, insight: welcome to the world of UBC Library, the second-largest academic research library in Canada.
security and forensics
https://www.freecodecamp.org/news/tag/generative-adversarial/
Generative Adversarial - freeCodeCamp.org
Browse thousands of programming tutorials written by experts. Learn Web Development, Data Science, DevOps, Security, and get developer career advice.
generativeadversarialfreecodecamp
https://handbook.monash.edu/2020/units/law4225
LAW4225 - Non-adversarial justice - Monash University
This is the official site of the Monash University Handbook for course and unit information.
nonadversarialjusticemonashuniversity
https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6453
Adversarial Networks For Secure Wireless Communications | IEEETV
We propose a data-driven secure wireless communication scheme, in which the goal is to transmit a signal to a legitimate receiver with minimal distortion,...
secure wirelessadversarialnetworkscommunications
https://www.f5.com/labs/articles/adversarial-poetry-and-the-efficacy-of-ai-guardrails
Adversarial Poetry and the Efficacy of AI Guardrails | F5 Labs
We investigate the rise of adversarial poetry in AI security. Understand how metaphor-based exploits circumvent guardrails and the defenses we need for LLMs...
and theai guardrailsadversarialpoetryefficacy
https://airweb.cse.lehigh.edu/
AIRWeb: Adversarial Information Retrieval on the Web
AIRWeb is a series of workshops on adversarial IR.
information retrievaladversarialweb
https://cir.nii.ac.jp/crid/1390856660868705920
Cycle-Generative Adversarial Network for Generating a Pseudo Realistic Food Dataset Using RGB and...
Constructing a food dataset is time and effort consuming due to the requirement for covering the feature variations of food samples. Additionally, a large...
https://www.akamai.com/glossary/what-is-a-generative-adversarial-network-gan
What Is a Generative Adversarial Network (GAN)? | Akamai
Generative adversarial networks (GANs) are AI models creating realistic outputs like images and voices, transforming fields like art, gaming, and computer...
what isgenerativeadversarialnetworkgan
https://developers.google.com/machine-learning/guides/adv-testing?authuser=4
Adversarial Testing for Generative AI | Machine Learning | Google for Developers
ai machine learningadversarial testinggenerativegoogledevelopers
https://thehackernews.com/2024/12/new-us-doj-rule-halts-bulk-data.html?ref=news.hackreports.com
New U.S. DoJ Rule Halts Bulk Data Transfers to Adversarial Nations to Protect Privacy
New DoJ rule halts sensitive data sales to adversaries like China, effective in 90 days, ensuring robust penalties and protections.
https://www.ovhcloud.com/en-gb/learn/what-is-generative-adversarial-network/
What is Generative adversarial network (GAN)? | OVHcloud UK
Learn how Generative Adversarial Networks (GANs) work to generate realistic images, audio, and data using two neural networks in competition.
what isgenerativeadversarialnetworkgan
https://impact.ornl.gov/en/publications/counter-data-paucity-through-adversarial-invariance-encoding-a-ca/
Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery...
a case study
https://arcove.substack.com/p/generative-adversarial-relationships/comments
Comments - Generative Adversarial Relationships
Human creative systems through the lens of our AI counterparts.
commentsgenerativeadversarialrelationships
https://research.ibm.com/publications/improved-adversarial-image-captioning
Improved adversarial image captioning for DGS@ICLR Workshop 2019 - IBM Research
Improved adversarial image captioning for DGS@ICLR Workshop 2019 by Pierre Dognin et al.
image captioningimprovedadversarial
https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2022.961724/full
Frontiers | Abnormal ECG detection based on an adversarial autoencoder
Automatic detection and alarm of abnormal ECG events play an important role in ECG Monitor System; however, popular classification models based on supervised...
abnormal ecgbased onfrontiersdetectionadversarial
https://isprs-annals.copernicus.org/articles/X-1-W1-2023/629/2023/
ISPRS-Annals - VEHICLE OCCLUSION REMOVAL FROM SINGLE AERIAL IMAGES USING GENERATIVE ADVERSARIAL...
isprs annals
https://research.ibm.com/publications/unravelling-robustness-of-deep-learning-based-face-recognition-against-adversarial-attacks
Unravelling robustness of deep learning based face recognition against adversarial attacks for AAAI...
Unravelling robustness of deep learning based face recognition against adversarial attacks for AAAI 2018 by Gaurav Goswami et al.
https://www.notion.so/product-templates/Adversarial-Prompting-Kit-29d5a2ccb526806f933cd9698f2f5b10?source=copy_link
Adversarial Prompting Kit | Notion
Prompt 1: Framework Finder
adversarial promptingkitnotion
https://ai.meta.com/research/publications/a-closer-look-at-the-optimization-landscapes-of-generative-adversarial-networks/
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks | Research - AI at...
Generative adversarial networks have been very successful in generative modeling, however they remain relatively challenging to train compared to...
a closer look at
https://sanghani.cs.vt.edu/research/publications/2018/robust-regression-via-online-feature-selection-under-adversarial-data-corruption.html
Robust Regression via Online Feature Selection Under Adversarial Data Corruption | Sanghani Center...
via onlinefeature selection
https://sheffield.ac.uk/cs/about/events/advancing-deep-medical-image-segmentation-adversarial-data-augmentation
Advancing deep medical image segmentation with adversarial data augmentation | Computer Science |...
medical imagedata augmentationadvancingdeepsegmentation
https://huggingface.co/papers/2504.19162
Paper page - SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
Join the discussion on this paper page
https://nrc-publications.canada.ca/eng/view/object/?id=6bec1d93-e08a-439f-8de6-5ffaaf4f43eb
Accelerating adversarial training on under-utilized GPU - NRC Publications Archive - Canada.ca
Accelerating adversarial training on under-utilized GPU
adversarial training
https://researchconnect.buffalo.edu/en/publications/twgan-twin-discriminator-generative-adversarial-networks/
TWGAN: Twin Discriminator Generative Adversarial Networks - SUNY University at Buffalo
twingenerativeadversarialnetworkssuny
https://cordis.europa.eu/project/id/101094665/de
Strengthening demOcratic engagement through vaLue-bAsed geneRative adversarIal networkS | SOLARIS |...
Generative adversarial networks (GANs) are a class of AI models able to create media contents audio and video resembling reality. Although there are different...
democratic engagementvalue basedstrengtheninggenerativeadversarial
https://rjwaldmann.blogspot.com/2015/08/when-did-freshwater-school-lose-its.html?m=1
Robert's Stochastic thoughts: When did the Freshwater School Adopt the "Adversarial Method"
Paul Romer and Paul Krugman write that Lucas, Prescott et al had great intellectual integrity back in the 70s but then turned to sophistry...
robert s
https://pure.psu.edu/en/publications/patrol-provable-defense-against-adversarial-policy-in-two-player-/
PATROL: Provable Defense against Adversarial Policy in Two-player Games - Penn State
two player games
https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6388/paganphaseadapted-generative-adversarial-networks-for-speech-enhancement
Pagan: A Phase-Adapted Generative Adversarial Networks For Speech Enhancement | IEEETV
Deep neural networks (DNNs) are becoming more and more popular in speech enhancement. Most of DNN-based speech enhancement approaches currently operate on...
speech enhancementpaganphaseadaptedgenerative
https://cbmm.mit.edu/publications/adversarial-collaboration-critically-evaluate-theories-consciousness
An adversarial collaboration to critically evaluate theories of consciousness | The Center for...
theories of consciousnessadversarial collaboration
https://pubmed.ncbi.nlm.nih.gov/41336809/
Heart Failure Diagnosis and Severity Estimation enhanced by Generative Adversarial Network
This work aims to enhance classification performance by generating new data through a Generative Adversarial Model for two problems: the Heart Failure (HF)...
heart failurediagnosisseverity
https://arxiv.org/abs/2004.12331
[2004.12331] Neural Topic Modeling with Bidirectional Adversarial Training
Abstract page for arXiv paper 2004.12331: Neural Topic Modeling with Bidirectional Adversarial Training
topic modelingneuralbidirectionaladversarialtraining
https://www.coursera.org/courses?query=generative+adversarial+networks&page=2
Top Generative Adversarial Networks Courses - Learn Generative Adversarial Networks Online
Generative Adversarial Networks courses from top universities and industry leaders. Learn Generative Adversarial Networks online with courses like Open...
topgenerativeadversarialnetworkscourses
https://par.nsf.gov/biblio/10639245-memfreezing-novel-adversarial-attack-temporal-graph-neural-networks-under-limited-future-knowledge
MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future...
This page contains metadata information for the record with PAR ID 10639245
graph neural networks
https://arxiv.org/abs/1712.03999
[1712.03999] Eye In-Painting with Exemplar Generative Adversarial Networks
Abstract page for arXiv paper 1712.03999: Eye In-Painting with Exemplar Generative Adversarial Networks
eyepaintingexemplargenerativeadversarial
https://arxiv.org/abs/2505.09342
[2505.09342] Evaluating the robustness of adversarial defenses in malware detection systems
Abstract page for arXiv paper 2505.09342: Evaluating the robustness of adversarial defenses in malware detection systems
https://mscvprojects.ri.cmu.edu/2018team4/category/uncategorized/
Uncategorized Archives - Adversarial Learning for Diabetic Retinopathy
uncategorized archiveslearning foradversarialdiabeticretinopathy
https://speakerdeck.com/var/adversarial-search
Adversarial Search - Speaker Deck
adversarialsearchspeakerdeck
https://publikationen.uni-tuebingen.de/xmlui/handle/10900/121847?show=full
Advances in Reliably Evaluating and Improving Adversarial Robustness
advancesreliablyevaluatingimprovingadversarial
https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6266/cost-aware-adversarial-learning
Cost Aware Adversarial Learning | IEEETV
The problem of making the classifier design resilient to test data falsification is considered. In the literature, a few countermeasures have been proposed to...
costawareadversariallearning
https://www.coursera.org/courses?query=generative+adversarial+networks+%28gans%29&page=2
Top Generative Adversarial Networks (gans) Courses - Learn Generative Adversarial Networks (gans)...
Generative Adversarial Networks (gans) courses from top universities and industry leaders. Learn Generative Adversarial Networks (gans) online with courses...
topgenerativeadversarialnetworksgans
https://www.govinfo.gov/app/details/BILLS-119hr4142ih
H.R. 4142 (IH) - No Adversarial AI Act - BILLS-119hr4142ih | Content Details | GovInfo
https://adversarialmetanoia.beehiiv.com/authors/marcelo-rinesi
Marcelo Rinesi | Adversarial Metanoia
Science fiction, short, on an stochastic schedule.
marceloadversarialmetanoia
https://research.tue.nl/en/publications/an-unknown-input-multi-observer-approach-for-estimation-and-contr-2/
An Unknown Input Multi-Observer Approach for Estimation and Control under Adversarial Attacks -...
https://fabraix.com/
Fabraix — Adversarial Verification for AI Agents
An adversarial staging environment for AI agents.
adversarial verificationfor aiagents
https://kth.diva-portal.org/smash/record.jsf?pid=diva2:1621962
Adversarial Attacks on CFO-Based Continuous Physical Layer Authentication : A Game Theoretic Study
https://ieeetv.ieee.org/ondemand/ieee-isbi-2020-virtual-conference-april-2020/2863/adversarialbased-domain-adaptation-networks-for-unsupervised-tumour-detection-in-histopathology
Adversarial-Based Domain Adaptation Networks for Unsupervised Tumour Detection in Histopathology |...
Developing effective deep learning models for histopathology applications is challenging, as the performance depends on large amounts of labelled training...
domain adaptationadversarialbasednetworks
https://about.uq.edu.au/experts/project/43186
Resilient Learning-based Defense under Adversarial and Uncertain Environments | Project | UQ Experts
https://www.ovhcloud.com/en-ca/learn/what-is-generative-adversarial-network/
What is Generative adversarial network (GAN)? | OVHcloud Canada
Learn how Generative Adversarial Networks (GANs) work to generate realistic images, audio, and data using two neural networks in competition.
what isgenerativeadversarialnetworkgan
https://arxiv.org/abs/2603.08553v1
[2603.08553v1] Generative Adversarial Regression (GAR): Learning Conditional Risk Scenarios
Abstract page for arXiv paper 2603.08553v1: Generative Adversarial Regression (GAR): Learning Conditional Risk Scenarios
generativeadversarialregressiongarlearning
https://wiki.ubc.ca/Special:WhatLinksHere/Course:CPSC522/Generative_Adversarial_Networks
Pages that link to "Course:CPSC522/Generative Adversarial Networks" - UBC Wiki
link to coursepages
https://llm-eval.github.io/pages/leaderboard/advprompt.html
Adversarial robustness | LLM Evaluation
adversarial robustnessllmevaluation
https://researchconnect.buffalo.edu/en/publications/black-box-adversarial-entry-in-finance-through-credit-card-fraud-/
Black-Box Adversarial Entry in Finance through Credit Card Fraud Detection - SUNY University at...
credit card fraud detection
https://researchconnect.buffalo.edu/en/publications/development-of-synthetic-ground-motion-records-through-generative/
Development of Synthetic Ground-Motion Records through Generative Adversarial Neural Operators -...
developmentsyntheticgroundmotion
https://pure.psu.edu/en/publications/semantic-preserving-adversarial-example-attack-against-bert/
Semantic-Preserving Adversarial Example Attack against BERT - Penn State
semanticpreservingadversarialexampleattack
https://www.mdpi.com/1424-8220/19/3/480
An Adversarial-Risk-Analysis Approach to Counterterrorist Online Surveillance
The Internet, with the rise of the IoT, is one of the most powerful means of propagating a terrorist threat, and at the same time the perfect environment for...
risk analysisadversarialapproachonlinesurveillance
https://impact.ornl.gov/en/publications/stable-parallel-training-of-wasserstein-conditional-generative-ad/
Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks:...
stableparalleltrainingconditionalgenerative
https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/6570
Mahalanobis Distance Based Adversarial Network For Anomaly Detection | IEEETV
Anomaly detection techniques are very crucial in multiple business applications, such as cyber security, manufacturing and finance. However, developing anomaly...
anomaly detectiondistancebasedadversarialnetwork
https://research.nvidia.com/labs/dair/publication/spurr2021adversarial/
Adversarial Motion Modelling Helps Semi-Supervised Hand Pose Estimation | DAIR @ NVIDIA Research
https://cs.nyu.edu/~shasha/drecco/games/2016/adversarialshortestpath/
Dr Ecco - Adversarial Shortest Path
dreccoadversarialshortestpath
https://explore.ghost.org/p/adversarial-logic
Adversarial Logic - Ghost Explore
Where deep learning meets deep defense
adversariallogicghostexplore
https://www.kaggle.com/c/nips-2017-non-targeted-adversarial-attack/
NIPS 2017: Non-targeted Adversarial Attack | Kaggle
Imperceptibly transform images in ways that fool classification models
adversarial attacknipsnontargetedkaggle
https://research.ibm.com/publications/adversarial-data-augmentation-improves-unsupervised-machine-learning
Adversarial Data Augmentation Improves Unsupervised Machine Learning for ICLR 2021 - IBM Research
Adversarial Data Augmentation Improves Unsupervised Machine Learning for ICLR 2021 by Chia-Yi Hsu et al.
unsupervised machine learningdata augmentation
https://arxiv.org/abs/2305.12402
[2305.12402] Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial...
Abstract page for arXiv paper 2305.12402: Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
https://github.com/coeff-giving/unrestricted-adversarial-examples
GitHub - coeff-giving/unrestricted-adversarial-examples: Contest Proposal and infrastructure for...
Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge - coeff-giving/unrestricted-adversarial-examples
adversarial examplesgithubgivingunrestricted
https://www.coursera.org/learn/build-better-generative-adversarial-networks-gans/reviews?page=3&authMode=signup
Learner Reviews & Feedback for Build Better Generative Adversarial Networks (GANs) Course | Coursera
Find helpful learner reviews, feedback, and ratings for Build Better Generative Adversarial Networks (GANs) from DeepLearning.AI. Read stories and highlights...
learner reviewsbuild better
https://github.com/ratschlab/RGAN/
GitHub - ratschlab/RGAN: Recurrent (conditional) generative adversarial networks for generating...
Recurrent (conditional) generative adversarial networks for generating real-valued time series data. - ratschlab/RGAN
githubrecurrentconditionalgenerativeadversarial
https://thehackernews.com/expert-insights/search/label/Adversarial%20AI
Adversarial AI | News & Insights | The Hacker News
Read the latest updates about Adversarial AI on The Hacker News cybersecurity and information technology publication.
adversarial ainews insightshacker
https://www.tensorflow.org/datasets/catalog/bot_adversarial_dialogue?hl=fa
bot_adversarial_dialogue | TensorFlow Datasets
botadversarialdialoguetensorflowdatasets
https://research-portal.st-andrews.ac.uk/en/publications/adversarial-ai-applied-to-cross-user-inter-domain-and-intra-domai/
Adversarial AI applied to cross-user inter-domain and intra-domain adaptation in human activity...
https://arxiv.org/abs/2410.10554
[2410.10554] ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
Abstract page for arXiv paper 2410.10554: ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
https://tenthman.ai/
Tenth Man | Adversarial Decision Intelligence
Adversarial Decision Intelligence. AI Built To Disagree. Most AI tools optimize for agreement. Tenth Man optimizes for dissent.
tenthmanadversarialdecisionintelligence
https://securityservicesauthority.com/red-team-blue-team-service-providers/
Red Team and Blue Team Service Providers: Adversarial Simulation and Defense Testing
Red team and blue team services form the adversarial testing and defensive validation segment of the cybersecurity services market, covering structured...
red teamservice providersadversarial simulationbluedefense
https://www.cs.cit.tum.de/daml/adversarial-training/
Adversarial Training - Data Analytics and Machine Learning
adversarial trainingdata analyticsmachinelearning
https://www.ojp.gov/library/publications/adversarial-indoor-signal-detection
Adversarial indoor signal detection | Office of Justice Programs
This paper discusses the problem of accurately detecting signals from contraband WiFi devices, with the aim of achieving a high probability of detection.
signal detectionoffice ofadversarialindoorjustice
https://wbteng9526.github.io/fvgen/
FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation
Distilled video diffusion model for fast novel view synthesis.
acceleratingnovelviewsynthesisadversarial
https://researchconnect.buffalo.edu/en/publications/an-adversarial-toxicity-prompt-generator-exploiting-multilingual--2/
An Adversarial Toxicity Prompt Generator Exploiting Multilingual Code-Switching in LLMs - SUNY...
prompt generator
https://futurism.com/the-byte/ai-vaccine-block-adversarial-attacks
An AI "Vaccine" Can Block Adversarial Attacks
Scientists developed an AI "vaccine" that can make algorithms more resistant to hackers who launch adversarial attacks to try and confuse the systems.
an aivaccineblockadversarialattacks