https://liora.io/en/adversarial-examples-definition-and-importance-in-machine-learning
Adversarial Examples: Definition and importance in machine learning
Feb 6, 2026 - Researchers are actively working on developing defense mechanisms against adversarial examples. Some strategies include
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https://wandb.ai/pandeyparul/posts/Generating-Adversarial-Examples-for-NLP-Models-with-TextAttack--VmlldzoxNzQ4MTUx
Generating Adversarial Examples for NLP Models with TextAttack
adversarial examplesgeneratingnlpmodels
https://ar5iv.labs.arxiv.org/html/1802.08195
[1802.08195] Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Machine learning models are vulnerable to adversarial examples: small changes to images can cause computer vision models to make mistakes such as identifying a...
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https://deepai.org/publication/defending-against-adversarial-examples-with-k-nearest-neighbor
Defending Against Adversarial Examples with K-Nearest Neighbor | DeepAI
Jun 23, 2019 - 06/23/19 - Robustness is an increasingly important property of machine learning models as they become more and more prevalent. We propose a d...
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https://experts.illinois.edu/en/publications/towards-universal-adversarial-examples-and-defenses/
Towards Universal Adversarial Examples and Defenses - Illinois Experts
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https://pure.ecnu.edu.cn/en/publications/generating-adversarial-examples-for-dnn-using-pooling-layers/
Generating adversarial examples for DNN using pooling layers - East China Normal University
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https://openreview.net/forum?id=_SITAlL8bUh
Robust Recovery of Adversarial Examples | OpenReview
A novel architecture and training procedure for robustly recover adversarial samples and boosting classification accuracy without modifying the classifier.
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https://video.ucdavis.edu/media/MADDD+seminar+2021-11-03%3A+David+Glickenstein%3A+Discrete+conformal+geometry+and+adversarial+examples+of+neural+networks/1_khjohvco
MADDD seminar 2021-11-03: David Glickenstein: Discrete conformal geometry and adversarial examples...
David Glickenstein: Discrete conformal geometry and adversarial examples of neural networksAbstract: Discrete differential geometry is a field that uses the...
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https://aclanthology.org/D18-1316/?ref=ruder.io
Generating Natural Language Adversarial Examples - ACL Anthology
Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, Kai-Wei Chang. Proceedings of the 2018 Conference on Empirical Methods in Natural...
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https://visincept.com/en/glossary/380
Adversarial Examples - Visincept
Learn about adversarial examples, which attack vision models. Discover how they are generated and their impact on model security.
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https://boa.unimib.it/handle/10281/431678
Unity is strength: Improving the detection of adversarial examples with ensemble approaches
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https://repositum.tuwien.at/handle/20.500.12708/216645
reposiTUm: Rethinking adversarial examples
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https://liner.com/review/evading-defenses-to-transferable-adversarial-examples-by-translationinvariant-attacks
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks [Quick...
Regarding this CVPR 2019 paper, this review summarizes a translation-invariant attack method to generate more transferable adversarial examples.
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https://wujns.edpsciences.org/articles/wujns/full_html/2025/01/wujns-1007-1202-2025-01-0001-20/F3.html
A Survey of Adversarial Examples in Computer Vision: Attack, Defense, and Beyond | Wuhan University...
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https://aisecurity-portal.org/en/literature-database/adversarial-examples-attacks-and-defenses-for-deep-learning/
Adversarial Examples: Attacks and Defenses for Deep Learning | AI Security Portal
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https://deep.ai/publication/indicators-of-attack-failure-debugging-and-improving-optimization-of-adversarial-examples
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples | DeepAI
Jun 18, 2021 - 06/18/21 - Evaluating robustness of machine-learning models to adversarial examples is a challenging problem. Many defenses have been shown t...
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https://researchconnect.suny.edu/en/publications/physical-adversarial-examples-for-object-detectors/
Physical adversarial examples for object detectors - SUNY Research Connect
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https://se.mathworks.com/help/deeplearning/ref/adversarialoptionsbim.html
AdversarialOptionsBIM - Options for generating adversarial examples using the basic iterative...
Use an AdversarialOptionsBIM object to set adversarial options for the BIM (basic iterative method) algorithm, including step size, execution environment, and...
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https://bytez.com/docs/arxiv/1811.12601/paper
Adversarial Examples as an Input-Fault Tolerance Problem | Read Paper on Bytez
Nov 30, 2018 - We analyze the adversarial examples problem in terms of a model's fault tolerance with respect to its input. Whereas previous work focuses on arbitrarily...
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https://scholars.cityu.edu.hk/en/publications/understanding-credibility-of-adversarial-examples-against-smart-g/
Understanding Credibility of Adversarial Examples against Smart Grid: A Case Study for Voltage...
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https://research.ibm.com/publications/lost-in-translation-generating-adversarial-examples-robust-to-round-trip-translation--1
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation for ICASSP...
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation for ICASSP 2023 by Neel Bhandari et al.
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https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/5656/characterizing-speech-adversarial-examples-using-selfattention-unet-enhancement
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement | IEEETV
Recent studies have highlighted adversarial examples as ubiquitous threats to the deep neural network (DNN) based speech recognition systems. In this work, we...
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https://proceedings.neurips.cc/paper_files/paper/2022/hash/7c818dd40651b420873af70b8a790e3f-Abstract-Conference.html
Isometric 3D Adversarial Examples in the Physical World
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https://speakerdeck.com/diracdiego/20191102-acl2019-adversarial-examples-in-nlp-yoheikikuta
20191102_ACL2019_adversarial_examples_in_NLP_YoheiKIKUTA - Speaker Deck
Presentation slides in https://nlpaper-challenge.connpass.com/event/152676/.
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https://ircommons.uwf.edu/esploro/outputs/conferenceProceeding/Detecting-Adversarial-Examples-Using-Data-Manifolds/99381512427706600
Detecting Adversarial Examples Using Data Manifolds - University of West Florida
Jan 1, 2018 - Models produced by machine learning, particularly deep neural networks, are state-of-the-art for many machine learning tasks and demonstrate very high...
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https://etheses.whiterose.ac.uk/id/eprint/37340/
Making Deep Learning Robust to Real-World Adversarial Examples - White Rose eTheses Online
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