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Safety Alignment

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Showing 201–250 of 288 papers

TitleStatusHype
SafetyDPO: Scalable Safety Alignment for Text-to-Image Generation—0
No Free Lunch for Defending Against Prefilling Attack by In-Context Learning—0
Model-Editing-Based Jailbreak against Safety-aligned Large Language Models—0
Na'vi or Knave: Jailbreaking Language Models via Metaphorical Avatars—0
SafeWorld: Geo-Diverse Safety AlignmentCode0
Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models—0
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning—0
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models—0
Don't Command, Cultivate: An Exploratory Study of System-2 AlignmentCode0
Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine—0
PSA-VLM: Enhancing Vision-Language Model Safety through Progressive Concept-Bottleneck-Driven Alignment—0
Playing Language Game with LLMs Leads to Jailbreaking—0
Unfair Alignment: Examining Safety Alignment Across Vision Encoder Layers in Vision-Language Models—0
Stochastic Monkeys at Play: Random Augmentations Cheaply Break LLM Safety AlignmentCode0
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs—0
Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal ModelsCode0
Smaller Large Language Models Can Do Moral Self-Correction—0
Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy OptimizationCode0
Iterative Self-Tuning LLMs for Enhanced Jailbreaking CapabilitiesCode0
Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks—0
A Common Pitfall of Margin-based Language Model Alignment: Gradient EntanglementCode0
SPIN: Self-Supervised Prompt INjection—0
BiasJailbreak:Analyzing Ethical Biases and Jailbreak Vulnerabilities in Large Language ModelsCode0
Can a large language model be a gaslighter?Code0
Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models—0
Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements—0
Superficial Safety Alignment Hypothesis—0
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language ModelsCode0
Toxic Subword Pruning for Dialogue Response Generation on Large Language Models—0
LLM Safeguard is a Double-Edged Sword: Exploiting False Positives for Denial-of-Service Attacks—0
SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Tasks—0
Towards Inference-time Category-wise Safety Steering for Large Language Models—0
Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language ModelsCode0
Overriding Safety protections of Open-source ModelsCode0
Backtracking Improves Generation Safety—0
PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach—0
Mitigating Unsafe Feedback with Learning Constraints—0
Unlocking Adversarial Suffix Optimization Without Affirmative Phrases: Efficient Black-box Jailbreaking via LLM as OptimizerCode0
Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation—0
Alignment-Enhanced Decoding:Defending via Token-Level Adaptive Refining of Probability DistributionsCode0
SAGE-RT: Synthetic Alignment data Generation for Safety Evaluation and Red Teaming—0
EnJa: Ensemble Jailbreak on Large Language Models—0
Can Large Language Models Automatically Jailbreak GPT-4V?—0
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models—0
The Better Angels of Machine Personality: How Personality Relates to LLM SafetyCode0
Multilingual Blending: LLM Safety Alignment Evaluation with Language Mixture—0
Jailbreak Attacks and Defenses Against Large Language Models: A Survey—0
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models—0
SeqAR: Jailbreak LLMs with Sequential Auto-Generated CharactersCode0
SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity GuidanceCode0
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