adversarial example

TextVerifier: Robustness Verification for Textual Classifiers with Certifiable Guarantees ACL 2023 The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training CVPR 2023 There is more than one kind of robustness: Fooling Whisper with adversarial examples Interspeech 2023 Toward Adversarial Training on Contextualized Language Representation ICLR 2023 Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations CVPR 2023 Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly NeurIPS 2023 Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples AAAI 2023 Towards Optimal Randomized Strategies in Adversarial Example Game AAAI 2023 Towards Transferable Targeted Adversarial Examples CVPR 2023 Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence ICCV 2023 Unveiling Safety Vulnerabilities of Large Language Models EMNLP 2023 360-Attack: Distortion-Aware Perturbations From Perspective-Views CVPR 2022 ADC: Adversarial Attacks Against Object Detection That Evade Context Consistency Checks WACV 2022 Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning AAAI 2022 Adversarial Learning from Crowds AAAI 2022 Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization NeurIPS 2022 Adversarial Robustness is at Odds with Lazy Training NeurIPS 2022 Adversarial Robustness Through the Lens of Causality ICLR 2022 Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation AAAI 2022 A Dynamical System Perspective for Lipschitz Neural Networks ICML 2022 Are AlphaZero-like Agents Robust to Adversarial Perturbations? NeurIPS 2022 Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks NeurIPS 2022 A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space IJCAI 2022 Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models EMNLP 2022 Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains ICLR 2022