AI Safety
3,602 papers
Papers per year
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1
4
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13
49
99
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358
812
1,297
405
'15
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Papers
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training
NeurIPS 2022
Transferable 3D Adversarial Textures Using End-to-End Optimization
WACV 2022
Trigger Hunting with a Topological Prior for Trojan Detection
ICLR 2022
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
CVPR 2022
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA
AACL 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
ICLR 2022
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning
IJCAI 2022
Universal Evasion Attacks on Summarization Scoring
EMNLP 2022
Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models
ACL 2022
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning
Interspeech 2022
Verification and Monitoring for First-Order LTL with Persistence-Preserving Quantification over Finite and Infinite Traces
IJCAI 2022
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
AAAI 2022
WeDef: Weakly Supervised Backdoor Defense for Text Classification
EMNLP 2022
Weight Perturbation as Defense against Adversarial Word Substitutions
EMNLP 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
NeurIPS 2022
When are Local Queries Useful for Robust Learning?
NeurIPS 2022
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
NeurIPS 2022
Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications
COLING 2022
Why predicting risk can’t identify ‘risk factors’: empirical assessment of model stability in machine learning across observational health databases
MLHC 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
NeurIPS 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
EMNLP 2022
Your Out-of-Distribution Detection Method is Not Robust!
NeurIPS 2022
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies
ICML 2021
Accumulative Poisoning Attacks on Real-time Data
NeurIPS 2021
Achieving Proportionality up to the Maximin Item with Indivisible Goods
AAAI 2021