最近一年的 AI 安全论文
本站共收录 97 篇- 评分标准判定缺少不确定性:面向 LLM 评测的共形加权
Rubric Judgments Lack Uncertainty: Conformal Weighting for LLM Evaluation
- CaRe:纠正全模态 LLM 模态误路由,缓解跨模态幻觉
Mitigating Cross-Modal Hallucinations by Correcting Modality Misrouting in Omnimodal LLMs
- ASCENT:通过一阶最优校准实现安全与效用协同的微调框架
ASCENT: First-Order Optimal Fine-Tuning with Recalibration for Safety--Utility Co-Enhancement
- 面向音频深度伪造检测的任务感知联合剪枝与蒸馏框架
Task-Aware Joint Pruning and Distillation for Efficient Audio Deepfake Detection
- CollageAttack:利用跨模态对齐缺陷对 T2I 模型实施空间文本组合越狱
CollageAttack: Exploiting Cross-Modal Alignment Flaws in T2I Models through Spatial Text Composition
- DeShortcut-Align:解耦伪捷径以提升大推理模型安全对齐鲁棒性
DeShortcut-Align: Decoupling Spurious Shortcuts for Robust Safety Alignment in Large Reasoning Models
- 超越最终决策:面向透明 AI 辅助同行评审的流程中心基准
Beyond Final Decisions: A Process-Centric Benchmark for Transparent AI-Assisted Peer Review
- ActBench:面向协作智能体行为安全的自演化基准
ActBench: Self-Evolving Benchmark of Behavioral Safety in Cowork Agents
- 研究提出 RolePlay 框架:利用人设条件放大 LLM 推理成本
From Role Prompt to Infinite Thinking: Exploiting Persona Conditioning for Inference Cost Attacks in LLMs
- DataShield:通过共识子空间对齐识别 LLM 微调中的高风险数据
DataShield: Uncovering Risky Fine-Tuning Data Across LLMs Through Consensus Subspace Alignment
- 纹理之下的幽灵:DTS-Det 用纹理关系线索跨范式检测 AI 生成图像
Ghosts Beneath Textures: Texture-Relation Cues for Cross-Paradigm AI-Generated Image Detection
- ConsisGuard:对齐 LLM 护栏中的安全深思与策略执行
ConsisGuard: Aligning Safety Deliberation with Policy Enforcement in LLM Guardrails
- TRACE:面向 LLM Agent 的任务感知自适应自进化越狱框架
TRACE: Task-Aware Adaptive Self-Evolving Agentic Jailbreaking
- RouteScan:通过专家路由遥测审计 MoE 大语言模型安全的非侵入式方法
RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetry
- 「训练鲁棒水印模型可能损害认证!」探索并缓解鲁棒水印中的身份信息泄露
"Training robust watermarking model may hurt authentication!'' Exploring and Mitigating the Identity Leakage in Robust Watermarking
- 面向深度伪造检测的频率感知三分支网络
Unveiling Deepfakes: A Frequency-Aware Triple Branch Network for Deepfake Detection
- 通道级语义扰动:面向多种训练范式的不可学习样本
Channel-Level Semantic Perturbations: Unlearnable Examples for Diverse Training Paradigms
- 面向大语言模型安全关键参数的识别与干预
Towards Identification and Intervention of Safety-Critical Parameters in Large Language Models
- FlowHijack:一种针对流匹配视觉-语言-动作模型的动态感知后门攻击
FlowHijack: A Dynamics-Aware Backdoor Attack on Flow-Matching Vision-Language-Action Models
- JANUS:通过分布优化越狱文生图模型的轻量级框架
JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization
- STEP:基于稳定性的触发器暴露分析检测音频后门攻击
STEP: Detecting Audio Backdoor Attacks via Stability-based Trigger Exposure Profiling
- RerouteGuard:理解并缓解 LLM 路由的对抗风险
RerouteGuard: Understanding and Mitigating Adversarial Risks for LLM Routing
- SpatialJB:文本分布艺术如何成为 LLM 护栏的越狱钥匙
SpatialJB: How Text Distribution Art Becomes the "Jailbreak Key" for LLM Guardrails
署名以 dblp 和本人的 Google Scholar 为准;只列本站收录的 AI 安全论文。