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Attack type：Extraction and theft Attack type：Detection evasion System component：Reasoning chains System component：Embeddings System component：Multimodal Clear all

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AttacksarXiv 2610.09920Oct 7
研究：多向量视觉文档索引可被反演还原页面内容
提出流匹配逆向框架，从多向量视觉文档索引重构页面
arXiv
2610.09920
Published
Oct 7
Layer
Application layer
Setting
LLM applications
Evaluated models
Tomoro-ColQwen3-8B, ColQwen3.5-4.5B, Tomoro-colqwen3-embed-4b and others13
- AttacksExtraction and theft
- ComponentEmbeddings
Paper analysisRead analysis
AttacksarXiv 2610.08331Oct 6
STCA：研究者提出针对自动驾驶视频 VLM 的时空一致性对抗攻击
提出 STCA，对驾驶视频 VLM 构造可迁移的时空对抗扰动
arXiv
2610.08331
Published
Oct 6
Layer
Prompt layer
Setting
Models and APIs
Attacker
No-box (offline transfer)
Evaluated models
Video-LLaVA-7B, Qwen2.5-VL-7B, Dolphins
- AttacksDetection evasion
- TechniqueGradient and representation optimization
- ComponentVideo
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2610.07939Oct 6
CCDF dataset: Grok Imagine, Veo 3.1, Sora 2 forge surveillance footage, ten deepfake detectors basically cannot recognize it
提出监控深伪基准 CCDF，在统一编码后评测检测器对伪造犯罪事故录像的识别
arXiv
2610.07939
Published
Oct 6
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
C2P-CLIP, ForgeLens, D3-Im and others10
- DefensesDetection and filtering
- AttacksDetection evasion
- ComponentGuardrails and judges
Abstract提出消除格式捷径的监控深度伪造基准 CCDF，揭示现有检测器难以识别商用生成视频。
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2610.06339Oct 5
BabelFake：面向多语言音视频 DeepFake 检测的基准数据集
构建多语言音视频 DeepFake 基准 BabelFake 并评测检测器
arXiv
2610.06339
Published
Oct 5
Layer
Model layer
Setting
Models and APIs
Evaluated models
SpeechForensics, AVH-Align, (B)RAVEn
- DefensesDetection and filtering
- AttacksDetection evasion
- ComponentAudio
AbstractBabelFake 为五语同意采集基准。
BabelFake 是经同意与 IRB 批准采集的多语音视频 DeepFake 检测基准，用来把视觉操纵和语音合成拆开比较。
Paper analysisRead analysis
DefensesarXiv 2610.05870Oct 5
MBZUAI 提出可校准的真实图像认证方法
提出校准重合成方法，以生成器反演保真度认证真实图像并防御对抗扰动
arXiv
2610.05870
Published
Oct 5
Layer
Application layer
Setting
LLM applications
Attacker
White-box
- DefensesDetection and filtering
- AttacksDetection evasion
- ComponentImage generation
Abstract论文提出基于反演保真度与阈值校准的健全认证框架，在对抗扰动下维持错误率界限，并指出真实内容可认证性随生成器演进而萎缩。
Paper analysisRead analysis
AttacksarXiv 2610.05601Oct 5
Tracer 框架可从遗忘后的扩散模型中识别被擦除概念
提出 TRACER，从权重差识别扩散模型被擦除概念
arXiv
2610.05601
Published
Oct 5
Layer
Model layer
Setting
Models and APIs
Attacker
White-box
Evaluated models
Stable Diffusion v1.5, Stable Diffusion 3, FLUX.1 and others5
- AttacksExtraction and theft
- ComponentImage generation
AbstractTRACER 用权重足迹识别未披露擦除概念并估计个数，作者称数秒内完成且准确率高于对照。
TRACER 针对的是遗忘扩散模型上的目标识别：提供者从公开基座 W 用已发表方法擦掉未知集合 S⋆，只发布 W′。攻击者还有假定包含这些概念的词表，但不知擦了谁、擦了几个、用了什么算法。
Paper analysisRead analysis
DefensesarXiv 2610.04235Oct 3
Thrive：面向自回归 TTS 的抗重建攻击多比特语音水印框架
提出 THRIVE，为自回归 TTS 嵌入抗重建的多比特语音水印
arXiv
2610.04235
Published
Oct 3
Layer
Model layer
Setting
Models and APIs
Evaluated models
Qwen3-TTS (0.6B), Dots.tts (2B)
- DefensesWatermarking and provenance
- AttacksDetection evasion
- ComponentAudio
Paper analysisRead analysis
AttacksarXiv 2610.01871Oct 1
研究者提出 IMMRAG 攻击，可从多模态 RAG 数据存储中提取医学与文档图像
提出 imMRAG 攻击，从多模态 RAG 私有图像库提取内容
arXiv
2610.01871
Published
Oct 1
Layer
Application layer
Setting
LLM applications
Attacker
Black-box
Evaluated models
Lumina-mGPT, Gemini 2.5 Flash Image Preview, CLIP ViT-B/16 and others5
- AttacksExtraction and theft
- TechniqueCross-modal payloads
- ComponentRAG
Paper analysisRead analysis
DefensesarXiv 2610.00780Oct 1
TAILOR：面向图像水印的组合方案定制框架
提出 TAILOR，按请求组合图像水印以满足抗攻击与画质延迟规格
arXiv
2610.00780
Published
Oct 1
Layer
Model layer
Setting
Models and APIs
- DefensesWatermarking and provenance
- AttacksDetection evasion
- ComponentImage generation
Paper analysisRead analysis
AttacksarXiv 2609.35699Sep 29
论文：蒸馏防御在蒸馏后强化学习下易被攻破
提出用 API 推理摘要重建轨迹再蒸馏加强化学习，攻破蒸馏防御
arXiv
2609.35699
Published
Sep 29
Layer
Training and data layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Qwen2.5-0.5B, Qwen2.5-1.5B, Qwen2.5-3B and others12
- AttacksExtraction and theft
- ComponentReasoning chains
Abstract更现实的蒸馏攻击是蒸馏后再 RL。
这篇工作修订蒸馏攻击的威胁模型：攻击者经合法 API 收集闭源推理数据，先蒸馏自有模型，再做强化学习。作者认为只在蒸馏后评估防御，会漏掉后续 RL，从而高估防御。
Paper analysisRead analysis
DefensesarXiv 2609.34744Sep 28
现代图像后置水印信道的优化与安全：SNW 方案
提出带密钥的 SNW，抵御事后图像水印的身份伪造
arXiv
2609.34744
Published
Sep 28
Layer
Model layer
Setting
Models and APIs
Evaluated models
SNW
- DefensesWatermarking and provenance
- AttacksDetection evasion
- ComponentImage generation
AbstractSNW 用密钥与满秩各向同性投影提高事后水印的 Shannon 容量，并对 PCA 完全安全。
Gesny 与 Giboulot 针对生成内容追溯所依赖的多比特事后图像水印，批评端到端 DNN 方案既无容量理论、又无密钥。
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2609.34092Sep 28
机器遗忘在 ASR 中是否有效：arXiv 论文评估现有算法与评测工具
arXiv
2609.34092
Published
Sep 28
Layer
Training and data layer
Setting
Models and APIs
Evaluated models
E-Branchformer
- DefensesModel hardening
- AttacksExtraction and theft
- ComponentAudio
Abstract梯度上升类方法更接近简单评测下的重训参照，复杂方法会被知情攻击认出，多说话人更差。
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2609.33481Sep 27
IDUnlearn-Bench：面向视觉语言模型的个体级遗忘基准
提出 IDUnlearn-Bench，评测 VLM 个体级遗忘后的身份残留
arXiv
2609.33481
Published
Sep 27
Layer
Training and data layer
Setting
Models and APIs
Evaluated models
Qwen3-VL-2B, Qwen3-VL-4B, Qwen3-VL-8B and others6
- DefensesModel hardening
- AttacksExtraction and theft
- ComponentVision
AbstractIDUnlearn-Bench 用四族探针显示：压低直接属性访问后，身份仍常能被反向查出、绑定或重构。
IDUnlearn-Bench 评测 VLM 是否忘掉一个可跨模态识别的人，而不只是答不出某条监督事实。
Paper analysisRead analysis
AttacksarXiv 2609.27542Sep 23
Researchers use control token injection to delete gpt-oss-20b's reasoning chain and bypass chain-of-thought monitoring
提出控制标记注入，清空工具 Agent 的思维链以绕过推理监控
arXiv
2609.27542
Published
Sep 23
Layer
Application layer
Setting
AI Agent
Evaluated models
openai/gpt-oss-20b, google/gemma-4-26B-A4B-it, deepseek-ai/DeepSeek-R1-Distill-Qwen-7B and others4
- AttacksPrompt injection
- TechniqueConversation structure manipulation
- ComponentReasoning chains
Abstract论文阐明控制标记注入可抑制 CoT 使监控失效并促成拒绝绕过，且工具执行受解析器宽容度影响。
Paper analysisRead analysis
DefensesarXiv 2609.23586Sep 20
VidMark：面向视频生成模型知识产权保护的高效水印方案
提出 VidMark 水印方案，核验视频生成模型的输出来源与所有权
arXiv
2609.23586
Published
Sep 20
Layer
Model layer
Setting
Models and APIs
Evaluated models
Stable Video Diffusion (SVD), Open-Sora, Wan
- DefensesWatermarking and provenance
- AttacksDetection evasion
- ComponentImage generation
AbstractVidMark 加解码器引导微调，把模型签名写入 VGM 输出并用于两项核验。
Huang 等人提出一套面向视频生成模型的生成内嵌水印方案，用来同时判断一条视频是否来自受保护模型，以及一个嫌疑模型是否为该模型的拷贝。
Paper analysisRead analysis
DefensesarXiv 2609.16229Sep 15
ARIA：用稀疏自编码器实现测试时机器遗忘
提出 ARIA，在冻结权重上用 SAE 做推理时遗忘门控
arXiv
2609.16229
Published
Sep 15
Layer
Model layer
Setting
Models and APIs
Attacker
White-box
Evaluated models
DeepSeek-R1-Distill-Qwen-1.5B, Gemma-3-1B-it
- DefensesInference-time intervention
- AttacksExtraction and theft
- ComponentReasoning chains
Paper analysisRead analysis
AttacksarXiv 2609.15989Sep 15
Researchers propose plan injection attack that can bypass chain-of-thought monitoring
提出 plan injection 攻击，植入良性伪装计划以绕过思维链监视器
arXiv
2609.15989
Published
Sep 15
Layer
Prompt layer
Setting
Models and APIs
Attacker
Gray-box
Evaluated models
Qwen2.5-Coder-7B-Instruct, Qwen3-8B, DeepSeek-R1-0528 and others6
- AttacksDetection evasion
- TechniqueReasoning-chain manipulation
- ComponentMonitors
Abstract论文指出模型会将外部上下文中的伪装计划改写为自身推理，使思维链监视器失效甚至反向合理化恶意行为。
Paper analysisRead analysis
DefensesarXiv 2609.15799Sep 15
RAPID：面向文生图服务的实时防未授权蒸馏防御
提出 RAPID，离线把抗蒸馏扰动写入文生图解码器
arXiv
2609.15799
Published
Sep 15
Layer
Model layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
PixArt, SSD, SDXL and others4
- DefensesModel hardening
- AttacksExtraction and theft
- ComponentImage generation
Paper analysisRead analysis
DefensesarXiv 2609.15671Sep 14
QPriv-VL：面向视觉语言模型的问题引导 token 裁剪隐私防御
提出 QPriv-VL，用问题引导剪枝降低分布式视觉问答的隐私泄露
arXiv
2609.15671
Published
Sep 14
Layer
Training and data layer
Setting
Models and APIs
Evaluated models
LLaVA-1.5-7B, Llama-2
- AttacksExtraction and theft
- ComponentVision
AbstractQPriv-VL 在切层前按问题相关度与 DINOv2 敏感度剪视觉 token，作者称能在约四成 token 下兼顾准确率与四类攻击。
QPriv-VL 把问题引导的视觉 token 剪枝做成分布式 VQA 的客户端隐私防御，而不是只做集中式推理加速。
Paper analysisRead analysis
AttacksarXiv 2609.12909Sep 11
研究者在双 T4 上复现并插桩 Tree-Ring 语义水印伪造攻击
复现 Tree-Ring 语义水印的黑盒伪造并恢复检测统计量
arXiv
2609.12909
Published
Sep 11
Layer
Model layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Stable Diffusion XL base 1.0
- AttacksDetection evasion
- TechniqueDefense-targeted
- ComponentImage generation
Paper analysisRead analysis

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