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Oct 12 · Monday
All papers Found 13 papers Another 255 papers do not have category tags yet and are not included in filtered results.
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About this collection Collection in progress We are building a large AI safety paper collection to help researchers find work related to their interests. Papers are collected automatically andfiltered only for relevance to AI safety , without judging quality, novelty or reading value. The default “Annotated first” shows papers with tags or published paper analyses first. Each group is ordered by original publication date, newest first, with undated papers last. “Newest first” uses publication dates only. This order is not a quality ranking.
One-line summaries, tags and paper analyses are prepared by AI from the papers. Language models may have systematic biases and produce hallucinations.We plan to carry out human annotation and review to reduce errors in this content.
构建多语言音视频 DeepFake 基准 BabelFake 并评测检测器
Published Oct 5
Evaluated models SpeechForensics , AVH-Align , (B)RAVEn Abstract BabelFake 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。
提出 THRIVE，为自回归 TTS 嵌入抗重建的多比特语音水印
Published Oct 3
Evaluated models Qwen3-TTS (0.6B) , Dots.tts (2B) 提出 LiBRA，在潜空间双向优化以规避图像水印双侧检测
Published Oct 2
Evaluated models Stable Signature , YU1 , HiDDeN and others4 Abstract LiBRA 用双向潜空间优化规避双侧水印检测，并提高相对反转基线的保真。
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
Published Oct 1 提出带密钥的 SNW，抵御事后图像水印的身份伪造
Published Sep 28
Evaluated models SNW Abstract SNW 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。
复现 Tree-Ring 语义水印的黑盒伪造并恢复检测统计量
Published Sep 11
Evaluated models Stable Diffusion XL base 1.0 提出黑盒攻击 DRIFT，偏转生成轨迹以去除扩散水印
Published Sep 8 提出 Cocktail 水印，共嵌稳健与脆弱信号以溯源并发现篡改
Published Aug 13
Evaluated models Llama-3.2-1B , Gemma-3-4B 用通用扰动对恶意软件分类器及漂移检测器做规避与后门投毒
Published Aug 4
Evaluated models MLP 100-100 , CADE (CAE 512-384-256-128) , CADE (CAE 512-128-32-8) and others6 提出 EXE-Bench 比较 Windows 恶意软件检测器的可用性权衡
Published Jul 27
Evaluated models EmberGBDT , BBDnn , BBDnnFDRS and others15 Abstract 统一四指标后，手工特征的 EmberGBDT 综合居首，只看准确率会误导部署。EXE-Bench 用同一设置给 AI Windows 恶意软件检测器做四指标排序，而不是只比一次测试集准确率。 。
提出 GeoDetect 以几何分数检测视觉语言预训练模型的对抗样本
Published Jul 16
Evaluated models CLIPViT (ViT-B/16) , CLIPCNN (ResNet-50) , ALBEF and others4 Abstract GeoDetect 用几何分数检测 VLP 对抗样本。GeoDetect 是面向视觉-语言预训练模型的对抗样本检测方法，用嵌入几何而不是任务 logits 区分干净样本与对抗样本。
提出 TFA 与 SVA，抑制 ensemble 后门指纹验证
Published Jan 7
Evaluated models LLaMA2-7B , LLaMA3.1-8B-It , Qwen2.5-7B and others11 Abstract 两种 ensemble 攻击 TFA/SVA 抑制后门指纹。TFA 与 SVA 是针对后门式 LLM 指纹的 ensemble 抑制攻击，不改模型参数。所有者用 SFT 写入秘密对，只通过 API 验证版权。攻击者未授权取得模型，不知道触发和指纹，却要把每个模型的验证变成失败，同时让 ensemble 至少不差于性能最高的单模型。
Attacks arXiv 2510.10987 · Oct 13, 2025 提出 DITTO 框架，蒸馏提取水印信号并注入外部模型以伪造归属
Published Oct 13, 2025
Evaluated models Llama3.1-8B , Llama3.2-3B , GPT-OSS 20B and others4 Abstract 论文针对大模型水印归属假设的脆弱性，提出黑盒仿冒攻击 DITTO，实现跨架构和采样方案的高检测率与低困惑度仿冒。
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