adversarial examples - Robuta Search

https://aclanthology.org/2020.findings-emnlp.341/ Reevaluating Adversarial Examples in Natural Language - ACL Anthology John Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020. adversarial examples natural language acl anthology https://openreview.net/forum?id=6VSunATmH2 Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks |... Transfer-based adversarial attacks can effectively evaluate model robustness in the black-box setting. Though several methods have demonstrated impressive... adversarial examples boosting transferability targeted via https://openreview.net/forum?id=Oj7Mrb4009&referrer=%5Bthe%20profile%20of%20Chaojian%20Yu%5D(%2Fprofile%3Fid%3D~Chaojian_Yu1) Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization | OpenReview Single-step adversarial training (SSAT) has demonstrated the potential to achieve both efficiency and robustness. However, SSAT suffers from catastrophic... adversarial examples catastrophic overfitting via abnormal 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 examples github giving unrestricted https://deepai.org/publication/a-survey-on-practical-adversarial-examples-for-malware-classifiers A survey on practical adversarial examples for malware classifiers | DeepAI Nov 6, 2020 - 11/06/20 - Machine learning based solutions have been very helpful in solving problems that deal with immense amounts of data, such as malwar... a survey adversarial examples practical malware classifiers https://openreview.net/forum?id=iP9P5YznTX On the Relationship Between Data Manifolds and Adversarial Examples | OpenReview In this work we study adversarial examples in deep neural networks through the lens of a predefined data manifold. By forcing certain geometric properties of... on the adversarial examples relationship data manifolds https://deepai.org/publication/deseption-dual-sequence-prediction-and-adversarial-examples-for-improved-fact-checking DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking | DeepAI Apr 27, 2020 - 04/27/20 - The increased focus on misinformation has spurred development of data and systems for detecting the veracity of a claim as well as... adversarial examples https://deepai.org/publication/making-adversarial-examples-more-transferable-and-indistinguishable Making Adversarial Examples More Transferable and Indistinguishable | DeepAI Jul 8, 2020 - 07/08/20 - Many previous methods generate adversarial examples based on the fast gradient sign attack series. However, these methods cannot b... adversarial examples making indistinguishable deepai https://arxiv.org/abs/2603.03507?ref=gatodo.com [2603.03507] Solving adversarial examples requires solving exponential misalignment Abstract page for arXiv paper 2603.03507: Solving adversarial examples requires solving exponential misalignment adversarial examples solving requires exponential misalignment https://deepai.org/publication/generalizability-vs-robustness-adversarial-examples-for-medical-imaging Generalizability vs. Robustness: Adversarial Examples for Medical Imaging | DeepAI Mar 23, 2018 - 03/23/18 - In this paper, for the first time, we propose an evaluation method for deep learning models that assesses the performance of a mod... adversarial examples for medical vs robustness imaging https://openreview.net/forum?id=hcVlMF3Nvxg MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples | OpenReview Multi-label classification, which predicts a set of labels for an input, has many applications. However, multiple recent studies showed that multi-label... adversarial examples provably robust multi label https://arxiv.org/abs/1705.07263v2 [1705.07263v2] Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Abstract page for arXiv paper 1705.07263v2: Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods adversarial examples https://wandb.ai/authors/adv-dl/reports/An-Introduction-to-Adversarial-Examples-in-Deep-Learning--VmlldzoyMTQwODM An Introduction to Adversarial Examples in Deep Learning Nov 1, 2022 - This article provides an introduction to adversarial examples, discusses a variety of different adversarial attacks, and provides advice on defending against... an introduction adversarial examples deep learning https://arxiv.org/html/2311.01473v3 Adversarial Examples in the Physical World: A Survey the physical world adversarial examples survey https://openreview.net/forum?id=D87rimdkGd SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion | OpenReview Natural Adversarial Examples (NAEs), images arising naturally from the environment and capable of deceiving classifiers, are instrumental in robustly... adversarial examples stable diffusion sd nae generating https://openreview.net/forum?id=TtVtQQanpo6 Generate More Imperceptible Adversarial Examples for Object Detection | OpenReview The method generates more imperceptible adversarial examples for object detection. adversarial examples object detection generate openreview 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... natural language adversarial examples generating acl anthology https://deepai.org/publication/improved-robustness-to-adversarial-examples-using-lipschitz-regularization-of-the-loss Improved robustness to adversarial examples using Lipschitz regularization of the loss | DeepAI Oct 1, 2018 - 10/01/18 - Adversarial training is an effective method for improving robustness to adversarial attacks. We show that adversarial training usi... adversarial examples https://arxiv.org/abs/1909.10480v1 [1909.10480v1] Adversarial Examples for Deep Learning Cyber Security Analytics Abstract page for arXiv paper 1909.10480v1: Adversarial Examples for Deep Learning Cyber Security Analytics adversarial examples deep learning cyber security analytics https://openreview.net/forum?id=HyydRMZC- Spatially Transformed Adversarial Examples | OpenReview We propose a new approach for generating adversarial examples based on spatial transformation, which produces perceptually realistic examples compared to... adversarial examples transformed openreview https://deepai.org/publication/characterizing-speech-adversarial-examples-using-self-attention-u-net-enhancement Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement | DeepAI Mar 31, 2020 - 03/31/20 - Recent studies have highlighted adversarial examples as ubiquitous threats to the deep neural network (DNN) based speech recogniti... adversarial examples characterizing speech using https://openreview.net/forum?id=cZ4j7L6oui Visual Adversarial Examples Jailbreak Aligned Large Language Models | OpenReview The growing interest in integrating vision into Large Language Models (LLMs), exemplified by Visual Language Models (VLMs) like Flamingo and GPT-4, is steering... large language models adversarial examples visual jailbreak aligned https://aclanthology.org/2021.acl-long.153/ Crafting Adversarial Examples for Neural Machine Translation - ACL Anthology Xinze Zhang, Junzhe Zhang, Zhenhua Chen, Kun He. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th... neural machine translation adversarial examples crafting acl anthology https://openreview.net/forum?id=Bys4ob-Rb Certified Defenses against Adversarial Examples | OpenReview We demonstrate a certifiable, trainable, and scalable method for defending against adversarial examples. adversarial examples certified defenses openreview https://openreview.net/forum?id=eWIS2WDhAq&referrer=%5Bthe%20profile%20of%20Chang%20Liu%5D(%2Fprofile%3Fid%3D~Chang_Liu17) Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE | OpenReview We propose an unrestricted adversarial attack algorithm based on wavelet-VAE network to obtain high quality adversarial examples. visual quality adversarial examples improving unrestricted https://arxiv.org/abs/1801.00349 [1801.00349] A General Framework for Adversarial Examples with Objectives Abstract page for arXiv paper 1801.00349: A General Framework for Adversarial Examples with Objectives general framework adversarial examples objectives https://deepai.org/publication/generating-fluent-adversarial-examples-for-natural-languages Generating Fluent Adversarial Examples for Natural Languages | DeepAI Jul 13, 2020 - 07/13/20 - Efficiently building an adversarial attacker for natural language processing (NLP) tasks is a real challenge. Firstly, as the sent... adversarial examples natural languages generating fluent deepai 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... adversarial examples defending k nearest neighbor https://deepai.org/publication/interpreting-adversarial-examples-with-attributes Interpreting Adversarial Examples with Attributes | DeepAI Apr 17, 2019 - 04/17/19 - Deep computer vision systems being vulnerable to imperceptible and carefully crafted noise have raised questions regarding the rob... adversarial examples interpreting attributes deepai https://arxiv.org/abs/1912.09059 [1912.09059] $n$-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated... Abstract page for arXiv paper 1912.09059: $n$-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers adversarial examples https://openreview.net/forum?id=rMf6B8sqg5 Efficient and Transferable Adversarial Examples from Bayesian Neural Networks | OpenReview cSGLD, a Bayesian Deep Learning method, is an efficient surrogate to craft adversarial examples transferable to deterministic DNN targets adversarial examples neural networks efficient bayesian openreview https://openreview.net/forum?id=H1lug3R5FX On the Geometry of Adversarial Examples | OpenReview We present a geometric framework for proving robustness guarantees and highlight the importance of codimension in adversarial examples. on the adversarial examples geometry openreview https://openreview.net/forum?id=MMtK0kUML7 Generating Less Certain Adversarial Examples Improves Robust Generalization | OpenReview This paper revisits the robust overfitting phenomenon of adversarial training. Observing that models with better robust generalization performance are less... adversarial examples generating less certain improves https://aclanthology.org/2020.acl-main.761/ DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking - ACL... Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona Diab, Smaranda Muresan. Proceedings of the 58th Annual Meeting of... adversarial examples https://arxiv.org/abs/1703.08603v3 [1703.08603v3] Adversarial Examples for Semantic Segmentation and Object Detection Abstract page for arXiv paper 1703.08603v3: Adversarial Examples for Semantic Segmentation and Object Detection adversarial examples semantic segmentation object detection https://arxiv.org/abs/1607.02533?ref=blog.hrflow.ai [1607.02533] Adversarial examples in the physical world Abstract page for arXiv paper 1607.02533: Adversarial examples in the physical world adversarial examples in the physical world https://openreview.net/forum?id=HJxdTxHYvB BREAKING CERTIFIED DEFENSES: SEMANTIC ADVERSARIAL EXAMPLES WITH SPOOFED ROBUSTNESS CERTIFICATES |... Defenses against adversarial attacks can be classified into certified and non-certified. Certifiable defenses make networks robust within a certain... adversarial examples breaking certified defenses semantic https://openreview.net/forum?id=BygANhA9tQ Cost-Sensitive Robustness against Adversarial Examples | OpenReview A general method for training certified cost-sensitive robust classifier against adversarial perturbations adversarial examples cost sensitive robustness openreview https://wandb.ai/pandeyparul/posts/Generating-Adversarial-Examples-for-NLP-Models-with-TextAttack--VmlldzoxNzQ4MTUx Generating Adversarial Examples for NLP Models with TextAttack adversarial examples nlp models generating textattack https://openreview.net/forum?id=HJGU3Rodl Adversarial examples in the physical world | OpenReview Most existing machine learning classifiers are highly vulnerable to adversarial examples. An adversarial example is a sample of input data which has been... the physical world adversarial examples openreview https://openreview.net/forum?id=rklOg6EFwS Improving Adversarial Robustness Requires Revisiting Misclassified Examples | OpenReview By differentiating misclassified and correctly classified data, we propose a new misclassification aware defense that improves the state-of-the-art adversarial... improving adversarial robustness requires revisiting https://arxiv.org/abs/2404.19460v2 [2404.19460v2] AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Abstract page for arXiv paper 2404.19460v2: AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples evaluating gradient based attacks adversarial https://openreview.net/forum?id=2j3B_YkC8r Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams |... We propose GeoAdEx, an algorithm for finding adversarial examples on k-NN classifiers that leverage the structure of Voronoi diagrams for efficient... https://arxiv.org/abs/2303.01052 [2303.01052] Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust... Abstract page for arXiv paper 2303.01052: Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial... https://deepai.org/publication/generating-natural-adversarial-hyperspectral-examples-with-a-modified-wasserstein-gan Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN | DeepAI Jan 27, 2020 - 01/27/20 - Adversarial examples are a hot topic due to their abilities to fool a classifier's prediction. There are two strategies to create ... with a wasserstein gan generating natural adversarial https://jmlr.org/papers/v26/22-1428.html Regularizing Hard Examples Improves Adversarial Robustness hard examples improves adversarial robustness