AI Safety
3,602 papers
Papers per year
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1
4
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5
1
13
49
99
135
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225
358
812
1,297
405
'15
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'25
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