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AI Safety

3,602 papers

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Papers

Corruption-Robust Offline Reinforcement Learning with General Function Approximation NeurIPS 2023 Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns EACL 2023 CUDA: Convolution-Based Unlearnable Datasets CVPR 2023 Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy CoRL 2023 DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models NeurIPS 2023 DE-CROP: Data-Efficient Certified Robustness for Pretrained Classifiers WACV 2023 DeepGemini: Verifying Dependency Fairness for Deep Neural Network AAAI 2023 Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis AAAI 2023 Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NeurIPS 2023 DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023 Delving into the Adversarial Robustness of Federated Learning AAAI 2023 Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023 Designing System Level Synthesis Controllers for Nonlinear Systems with Stability Guarantees L4DC 2023 Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models EMNLP 2023 Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency CVPR 2023 Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark ACL 2023 Detection of Man-in-the-Middle Attacks in Model-Free Reinforcement Learning L4DC 2023 Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias ACL 2023 Distilling Cognitive Backdoor Patterns within an Image ICLR 2023 Distinguishing Fact from Fiction: A Benchmark Dataset for Identifying Machine-Generated Scientific Papers in the LLM Era. ACL 2023 Distributionally Robust Lyapunov Function Search Under Uncertainty L4DC 2023 Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement ICLR 2023 Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration NeurIPS 2023 Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? WACV 2023 Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023