Overview

Backdoor attacks study how hidden behaviors can be implanted in machine-learning systems and activated by a trigger, even when performance on ordinary inputs appears normal. Attackers use poisoned training data, malicious model updates, or compromised components; triggers range from image patches and text styles to graph structures, timing patterns, and an agent’s internal state. Research spans image and speech classifiers, language and diffusion models, federated learning, reinforcement learning, and agent systems, with defenses including data filtering, model inspection, fine-tuning, and runtime monitoring. A central challenge is that defenses can miss unfamiliar or deployment-specific triggers, while stronger mitigation may reduce useful performance and some backdoors may be difficult to detect even with access to model parameters.

Latest papers

CardsList

135 papers16 papers in the last four weeks, up 23% on the four weeks before. 0.1% of all new papers.

  1. Backdoor Channels Hidden in Latent Space: Cryptographic Undetectability in Modern Neural Networks

    May 13, 2026Marte Eggen, Eirik Reiestad, Kristian Gjøsteen +1Backdoor AttacksBackdoor Detection

  2. DiffusionHijack: Supply-Chain PRNG Backdoor Attack on Diffusion Models and Quantum Random Number Defense

    May 13, 2026Ziyang You, Liling Zheng, Xiaoke Yang +1Backdoor AttacksDiffusion Models

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

    May 12, 2026Ziyu Liu, Tao Li, Tianjie Ni +5LLM Backdoor AttacksBackdoor Attacks

  4. FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement

    May 11, 2026Fatima Z. Abacha, Sin G. Teo, Yuanxiang Wu +2Backdoor AttacksBackdoor Attacks in Federated Learning

  5. BehaviorGuard: Online Backdoor Defense for Deep Reinforcement Learning

    May 7, 2026Yinbo Yu, Xueyu Yin, Jiadai Wang +4Backdoor AttacksBackdoor Detection

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

    May 7, 2026Kealan Dunnett, Reza Arablouei, Dimity Miller +2Fine-TuningBackdoor Attacks

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

    May 5, 2026Sarthak Choudhary, Atharv Singh Patlan, Nils Palumbo +3Backdoor Attacks

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

    May 4, 2026Ji Guo, Xiaolong Qin, Cencen Liu +3VLM RobustnessAdversarial Attacks on VLMs

  9. TRAP: Tail-aware Ranking Attack for World-Model Planning

    May 3, 2026Siyuan Duan, Ke Zhang, Xizhao LuoBackdoor AttacksWorld Model-Based Planning

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

    May 2, 2026Yi Yang, Jinyang Huang, Binbin Liu +5Backdoor AttacksData Poisoning Attacks

  11. Toward Polymorphic Backdoor against Semantic Communication via Intensity-Based Poisoning

    Apr 25, 2026Xiao Yang, Yuni Lai, Gaolei Li +4Backdoor AttacksAdversarial Robustness

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

    Apr 23, 2026Jiali Wei, Ming Fan, Guoheng Sun +3LLM Backdoor AttacksBackdoor Attacks

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

    Apr 23, 2026Yuchen Shi, Xin Guo, Huajie Chen +3Backdoor AttacksBackdoor Defense

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

    Apr 21, 2026Dazhuang Liu, Yanqi Qiao, Rui Wang +2Adversarial AttacksVision Transformer

  15. BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning

    Apr 10, 2026Guiyao Tie, Jiawen Shi, Pan Zhou +1Backdoor AttacksAI Agent Security

  16. SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems

    Apr 8, 2026Yunhao Feng, Yifan Ding, Yingshui Tan +6Backdoor AttacksLLM Agent Security

  17. Beyond Corner Patches: Semantics-Aware Backdoor Attack in Federated Learning

    Mar 31, 2026Kavindu Herath, Joshua Zhao, Saurabh BagchiBackdoor AttacksBackdoor Attacks in Federated Learning

  18. SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation

    Mar 29, 2026He Yang, Dongyi Lv, Song Ma +2Backdoor AttacksDataset Condensation

  19. Hidden Ads: Behavior Triggered Semantic Backdoors for Advertisement Injection in Vision Language Models

    Mar 29, 2026Duanyi Yao, Changyue Li, Zhicong Huang +2Adversarial Attacks on VLMsBackdoor Attacks

  20. AgentRAE: Remote Action Execution through Notification-based Visual Backdoors against Screenshots-based Mobile GUI Agents

    Mar 24, 2026Yutao Luo, Haotian Zhu, Shuchao Pang +4Backdoor AttacksAI Agent Security

  21. Graph-Aware Stealthy Poison-Text Backdoors for Text-Attributed Graphs

    Mar 20, 2026Qi Luo, Minghui Xu, Dongxiao Yu +1Backdoor AttacksData Poisoning Attacks

  22. Inevitable Encounters: Backdoor Attacks Involving Lossy Compression

    Mar 14, 2026Qian Li, Yunuo Chen, Yuntian ChenBackdoor Attacks

  23. Delayed Backdoor Attacks: Exploring the Temporal Dimension as a New Attack Surface in Pre-Trained Models

    Mar 12, 2026Zikang Ding, Haomiao Yang, Meng Hao +6Adversarial AttacksBackdoor Attacks

  24. Detecting and Eliminating Neural Network Backdoors Through Active Paths with Application to Intrusion Detection

    Mar 11, 2026Eirik Høyheim, Magnus Wiik Eckhoff, Gudmund Grov +2Backdoor DetectionBackdoor Defense

  25. Removing the Trigger, Not the Backdoor: Alternative Triggers and Latent Backdoors

    Mar 10, 2026Gorka Abad, Ermes Franch, Stefanos Koffas +1Backdoor AttacksBackdoor Defense