AI Safety
3,602 papers
Papers per year
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13
49
99
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358
812
1,297
405
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Papers
CHASE: Contextual History for Adaptive and Simple Exploitation in Large Language Model Jailbreaking
AAAI 2026
Clean-Label Physical Backdoor Attacks with Data Distillation
AAAI 2026
Closed-Form Concept Erasure via Double Projections
CVPR 2026
CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection
ACL 2026
Co-Designing Unplugged Learning Activities with K-2 Teachers for Early AI Literacy Education
AAAI 2026
Code-Switching as a Safety Failure Mode in Large Language Models: An Empirical Study of Roman Urdu across English, Mixed, and Transliteration-Only Inputs
EACL 2026
Composable Assurance for AI Alignment: A Framework for Propagating Formal Safety Properties Through MLOps
AAAI 2026
ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models
AAAI 2026
Confirmation Bias: A Challenge for Scalable Oversight
AAAI 2026
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment
EACL 2026
Consensus Learning with Multi-Party Perturbation Triggers for Secure Model Access
AAAI 2026
Control Illusion: The Failure of Instruction Hierarchies in Large Language Models
AAAI 2026
ConVerse: Benchmarking Contextual Safety in Agent-to-Agent Conversations
EACL 2026
Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks
ACL 2026
CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense
AAAI 2026
Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment
AAAI 2026
CRADLE Bench: A Clinician-Annotated Benchmark for Multi-Faceted Mental Health Crisis and Safety Risk Detection
EACL 2026
Creating Blank Canvas Against AI-enabled Image Forgery
AAAI 2026
DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt
AAAI 2026
Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification
AAAI 2026
Delphi: A Neuro-Symbolic Framework for Individualized, Safe and Interpretable Treatment Recommendation
AAAI 2026
Designing Incident Reporting Systems for Harms from General-Purpose AI
AAAI 2026
Detecting Compute Structuring in AI Governance Is Likely Feasible
AAAI 2026
Detection of Adversarial Prompts with Model Predictive Entropy
EACL 2026
Diagnosing and Repairing Unsafe Channels in Vision-Language Models via Causal Discovery and Dual-Modal Safety Subspace Projection
CVPR 2026