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Safety

414 papers

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Papers

Language Detoxification with Attribute-Discriminative Latent Space ACL 2023
TextVerifier: Robustness Verification for Textual Classifiers with Certifiable Guarantees ACL 2023
Defending against Insertion-based Textual Backdoor Attacks via Attribution ACL 2023
Can Large Language Models Safely Address Patient Questions Following Cataract Surgery? ACL 2023
The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks CVPR 2023
Unveiling the Implicit Toxicity in Large Language Models EMNLP 2023
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer EMNLP 2023
Self-Detoxifying Language Models via Toxification Reversal EMNLP 2023
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition EMNLP 2023
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models EMNLP 2023
ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models EMNLP 2023
Towards Detecting Contextual Real-Time Toxicity for In-Game Chat EMNLP 2023
InstructSafety: A Unified Framework for Building Multidimensional and Explainable Safety Detector through Instruction Tuning EMNLP 2023
GTA: Gated Toxicity Avoidance for LM Performance Preservation EMNLP 2023
Constrained Update Projection Approach to Safe Policy Optimization NIPS 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach NIPS 2022
Risk-Driven Design of Perception Systems NIPS 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation NIPS 2022
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP NIPS 2022
Increasing Confidence in Adversarial Robustness Evaluations NIPS 2022
Shield Decentralization for Safe Multi-Agent Reinforcement Learning NIPS 2022
Provable Defense against Backdoor Policies in Reinforcement Learning NIPS 2022
Enhancing Safe Exploration Using Safety State Augmentation NIPS 2022
Counterfactual harm NIPS 2022
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning AAAI 2022