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AI Safety

3,026 papers

Papers per year

5
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Papers

Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution ACL 2021
Rethinking Stealthiness of Backdoor Attack against NLP Models ACL 2021
An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter ACL 2021
Provably Safe PAC-MDP Exploration Using Analogies AISTATS 2021
Robust and Private Learning of Halfspaces AISTATS 2021
Misspecification in Prediction Problems and Robustness via Improper Learning AISTATS 2021
Bayesian Inference with Certifiable Adversarial Robustness AISTATS 2021
Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case AISTATS 2021
Detection and Defense of Topological Adversarial Attacks on Graphs AISTATS 2021
Hidden Cost of Randomized Smoothing AISTATS 2021
Robust learning under clean-label attack COLT 2021
A Law of Robustness for Two-Layers Neural Networks COLT 2021
Adversarially Robust Learning with Unknown Perturbation Sets COLT 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021
Backdoor Attacks Against Deep Learning Systems in the Physical World CVPR 2021
PointGuard: Provably Robust 3D Point Cloud Classification CVPR 2021
Limitations of Post-Hoc Feature Alignment for Robustness CVPR 2021
Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021
The Translucent Patch: A Physical and Universal Attack on Object Detectors CVPR 2021
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink CVPR 2021
Towards Evaluating and Training Verifiably Robust Neural Networks CVPR 2021
Automatically Exposing Problems with Neural Dialog Models EMNLP 2021
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences EMNLP 2021