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adversarial robustness

1,552 papers

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Papers

Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering EACL 2023 An Analysis of Robustness of Non-Lipschitz Networks JMLR 2023 An Embarrassingly Simple Backdoor Attack on Self-supervised Learning ICCV 2023 Are Synonym Substitution Attacks Really Synonym Substitution Attacks? ACL 2023 ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models EMNLP 2023 A Survey on Out-of-Distribution Evaluation of Neural NLP Models IJCAI 2023 Asymmetric Certified Robustness via Feature-Convex Neural Networks NeurIPS 2023 Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling AAAI 2023 A Unified Algebraic Perspective on Lipschitz Neural Networks ICLR 2023 A Unified Detection Framework for Inference-Stage Backdoor Defenses NeurIPS 2023 Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples ICCV 2023 Benchmarking Robustness to Adversarial Image Obfuscations NeurIPS 2023 Better Diffusion Models Further Improve Adversarial Training ICML 2023 Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense NeurIPS 2023 Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating AAAI 2023 Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels ICML 2023 BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning ICML 2023 Bispectral Neural Networks ICLR 2023 BITE: Textual Backdoor Attacks with Iterative Trigger Injection ACL 2023 BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training ACL 2023 BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming ICML 2023 Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023 Boosting Verified Training for Robust Image Classifications via Abstraction CVPR 2023 Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model AISTATS 2023 Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models ICCV 2023