Clean Label Backdoor Attack

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4 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

Jul 6Week of Sep 21

Latest papers 52

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  1. Backdoor Purification for LoRA-Tuned LLMs via Null-Space Projection

    Sep 30, 2026Jianwei Li, Jung-Eun KimClean Label Backdoor AttackAttacker Large Language Model

  2. SpecGuard: Inference-Time Backdoor Detection For Free

    Sep 11, 2026Rui Wen, Ahmed Salem, Andrew Paverd +2Clean Label Backdoor AttackInference-Time Defense

  3. Fine-grained Distributed Backdoor Attacks in Federated Learning

    Sep 7, 2026Jian Wang, Hong Shen, Wei Ke +1Federated LearningClean Label Backdoor Attack

  4. Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning

    Sep 4, 2026Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul IslamFederated LearningClean Label Backdoor Attack

  5. Beyond Small Patches: Black-Box Detection and Purification of Diverse Backdoor Triggers

    Sep 2, 2026Ahmed Abdelnaby, Mohamed ElmahallawyClean Label Backdoor AttackUnsupervised Detection

  6. Understanding Backdoor Vulnerabilities in Vertical Federated Learning: The Gap Between Research and Practice

    Aug 13, 2026Ziqi Zhao, Jialin Lu, Junjie Shan +3Clean Label Backdoor AttackFederated Learning

  7. ElasticBack: Stealthy Conditional Backdoor in LLM-Agent Skills via Coupled Trigger-Rule Optimization

    Aug 10, 2026Hao Sui, Simeng Qin, Jie Liao +3Clean Label Backdoor AttackMalicious Agents

  8. Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks

    Aug 10, 2026Yi Yang, Xiaoke Chen, Jinyang Huang +6Clean Label Backdoor AttackPoisoning

  9. Robust Watermarks Meet Backdoored Models: Evading Diffusion Semantic Watermarks via Stealthy Backdoor

    Aug 1, 2026Jinyuan Liu, Tianshuo Cong, Pei Li +4WatermarksWatermarking

  10. Temporal Poisoning: Clean-Label Backdoors via Event Redistribution in SNNs

    Jul 30, 2026Roberto Riaño, Gorka Abad, Stjepan Picek +1Spiking Neural NetworksClean Label Backdoor Attack

  11. Lilith: Backdoor Generalization under Training-Inference Trigger Shift

    Jul 28, 2026Zhou Feng, Jiahao Chen, Chunyi Zhou +6Clean Label Backdoor AttackAttack-Success Rate

  12. Early Detection of Distributed Backdoors in Multi-Agent LLM Systems: A Characterization Study

    Jul 27, 2026Diego Fernandez Arias, Dev Prashant Mistry, Ren Wang +1Multi-Agent Large Language Model SystemsClean Label Backdoor Attack

  13. Defense Against LLM Backdoors using Critical Neuron Isolation Pruning

    Jul 22, 2026Yuxi Li, Zhibo Zhang, Kailong Wang +3Attacker Large Language ModelClean Label Backdoor Attack

  14. Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection

    Jul 10, 2026Jaesun Baek, Chanwook Lee, Eun-Kyu LeeClean Label Backdoor AttackEdge-Aware

  15. Beware What You Autocomplete: Forensic Attribution of Backdoored Code Completions

    Jul 9, 2026Anjun Gao, Yueyang Quan, Zhuqing Liu +1Clean Label Backdoor AttackVulnerable Code

  16. ORAN-DEFEND: Subspace Detection and Sanitization of Backdoor DRL xApps in Open RAN

    Jul 7, 2026Md Raihan Uddin, Fatemeh Lotfi, Tolunay Seyfi +1Clean Label Backdoor AttackModel-Agnostic Defense

  17. The Power of Backdoor Absorption in Community Training

    Jul 7, 2026Issam Seddik, Sami Souihi, Mohamed Tamaazousti +1Clean Label Backdoor AttackModel-Agnostic Defense

  18. DRL-CLBA: A Clean Label Backdoor Attack for Speech Classification via DDPG Reinforcement Learning

    Jul 2, 2026Yueming Huang, Wenhan Yao, Fen Xiao +2Clean Label Backdoor AttackSpeaker

  19. Pmeta-TLA: Backdoor Attacks for Speech Classification Models via Meta-Learning with Timbre Leakage Attack

    Jul 2, 2026Yueming Huang, Wenhan Yao, Fen Xiao +2Clean Label Backdoor AttackSpeaker

  20. CSO-LLM: Class Subspace Orthogonalization for Post-Training Backdoor Detection and Trigger Inversion in LLMs

    Jun 30, 2026Zhengxing Li, David J. Miller, Guangmingmei Yang +1Attacker Large Language ModelClean Label Backdoor Attack

  21. SCRUB-FL: Sanitizing and Cleansing Representations via Unlearning of Backdoors

    Jun 21, 2026Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab +2Clean Label Backdoor AttackFederated Learning

  22. Fusing Backdoors, Machine Learning, and Optimization for Large-Scale Parametric Mixed-Integer Programs

    Jun 19, 2026El Mehdi Er Raqabi, Pascal Van HentenryckMixed-Integer ProgrammingClean Label Backdoor Attack

  23. Mirage: a Clean-Label Backdoor against LiDAR 3D Object Detection

    Jun 18, 2026Ziba Parsons, Ang Li3D Object DetectionClean Label Backdoor Attack

  24. InstantForget: Update-Free Backdoor Unlearning with Inference-Time Feature Reset

    Jun 14, 2026Zhenyu YuClean Label Backdoor AttackInference-Time Defense

  25. From Parameters to Feature Space: Task Arithmetic for Backdoor Mitigation in Model Merging

    Jun 10, 2026Zhenqian Zhu, Yamin Hu, Yiya Diao +3Continual Model MergingClean Label Backdoor Attack

  26. Patcher: Post-Hoc Patching of Backdoored Large Language Models

    Jun 2, 2026Anjun Gao, Yueyang Quan, Yufei Xia +2Large Language Model JailbreaksClean Label Backdoor Attack

  27. Density-aware Sample-specific Attack

    May 27, 2026Qiyuan Wang, Yao Li, Raymond K. W. WongClean Label Backdoor AttackModel-Agnostic Defense

  28. Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning

    May 19, 2026Sayan Biswas, Antoine Boutet, Davide Frey +7Clean Label Backdoor AttackDecentralized Learning

  29. A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook

    May 18, 2026Kaiwen Luo, Zhenhong Zhou, Leo Wang +31Large Audio Language ModelsLarge Language Model Safety

  30. Can Quantum Federated Learning Withstand Circuit-Level Backdoors?

    May 18, 2026Aakar Mathur, Mohammed Ruknuddin, Ashish GuptaFederated LearningVariational Quantum Algorithms

  31. Fast and Lightweight Backdoor Detection via Head Random Probing

    May 17, 2026Yinbo Yu, Xueyu Yin, Jing Fang +4Clean Label Backdoor AttackUnsupervised Detection

  32. Lightweight and Fast Backdoor Model Detection

    May 17, 2026Yinbo Yu, Jing Fang, Xuewen Zhang +4Clean Label Backdoor AttackFewer Surprising Backdoors

  33. EntropyScan: Towards Model-level Backdoor Detection in LVLMs via Visual Attention Entropy

    May 15, 2026Xuanyu Ge, Zhongqi Wang, Jie Zhang +2Clean Label Backdoor AttackLarge Language Model Backbones

  34. When Emotion Becomes Trigger: Emotion-style dynamic Backdoor Attack Parasitising Large Language Models

    May 12, 2026Ziyu Liu, Tao Li, Tianjie Ni +5Attacker Large Language ModelClean Label Backdoor Attack

  35. Backdoor Mitigation in Object Detection via Adversarial Fine-Tuning

    May 7, 2026Kealan Dunnett, Reza Arablouei, Dimity Miller +2Clean Label Backdoor AttackObject Detection

  36. Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions

    May 5, 2026Sarthak Choudhary, Atharv Singh Patlan, Nils Palumbo +3Clean Label Backdoor AttackUnsupervised Detection

  37. CBV: Clean-label Backdoor Attacks on Vision Language Models via Diffusion Models

    May 4, 2026Ji Guo, Xiaolong Qin, Cencen Liu +3Clean Label Backdoor AttackDiffusion Models

  38. Checkerboard: A Simple, Effective, Efficient and Learning-free Clean Label Backdoor Attack with Low Poisoning Budget

    May 2, 2026Yi Yang, Jinyang Huang, Binbin Liu +5Clean Label Backdoor AttackBlack-Box Adversarial Attacks

  39. Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers

    Apr 23, 2026Jiali Wei, Ming Fan, Guoheng Sun +3Attacker Large Language ModelClean Label Backdoor Attack

  40. CSC: Turning the Adversary's Poison against Itself

    Apr 23, 2026Yuchen Shi, Xin Guo, Huajie Chen +3Clean Label Backdoor AttackModel-Agnostic Defense

  41. PASTA: A Patch-Agnostic Twofold-Stealthy Backdoor Attack on Vision Transformers

    Apr 21, 2026Dazhuang Liu, Yanqi Qiao, Rui Wang +2Clean Label Backdoor AttackVision Transformer

  42. Mechanistic Anomaly Detection via Functional Attribution

    Apr 21, 2026Hugo Lyons Keenan, Christopher Leckie, Sarah ErfaniInterpretable Anomaly DetectionClean Label Backdoor Attack

  43. Unveiling Hidden Threats: Using Fractal Triggers to Boost Stealthiness of Distributed Backdoor Attacks in Federated Learning

    Nov 12, 2025Jian Wang, Hong Shen, Chan-Tong LamClean Label Backdoor AttackFederated Learning

  44. FLAT: Revealing Hidden Latent-Conditioned Backdoor Failures in Federated Learning

    Aug 6, 2025Tuan Nguyen, Sze Jue Yang, Khoa D. Doan +2Federated LearningClean Label Backdoor Attack

  45. SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer

    Feb 29, 2024Pengzhou Cheng, Wei Du, Zongru Wu +4Clean Label Backdoor AttackAttacker Large Language Model