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AI Safety

2972 directly classified papers

Papers per year

Papers

Counterfactual harm NIPS 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy NIPS 2022
WeDef: Weakly Supervised Backdoor Defense for Text Classification EMNLP 2022
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning CVPR 2022
Investigating Top-k White-Box and Transferable Black-Box Attack CVPR 2022
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models CVPR 2022
Better Trigger Inversion Optimization in Backdoor Scanning CVPR 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power NIPS 2022
Handcrafted Backdoors in Deep Neural Networks NIPS 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks NIPS 2022
Flooding-X: Improving BERT’s Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning ACL 2022
Model AI Assignments 2022 AAAI 2022
Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching CVPR 2022
Preparing High School Teachers to Integrate AI Methods into STEM Classrooms AAAI 2022
Authentic Integration of Ethics and AI through Sociotechnical, Problem-Based Learning AAAI 2022
Differential Assessment of Black-Box AI Agents AAAI 2022
Cosine Model Watermarking against Ensemble Distillation AAAI 2022
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm NAACL 2022
Certified Robustness via Locally Biased Randomized Smoothing L4DC 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings NIPS 2022
Rethinking the Reverse-engineering of Trojan Triggers NIPS 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation NIPS 2022
Safe Control with Neural Network Dynamic Models L4DC 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NIPS 2022
Automatic Termination for Hyperparameter Optimization AUTOML 2022