Overview

Adversarial attacks study how deliberately chosen inputs, training data, model parameters, or system interactions can make AI systems fail or behave as intended by an attacker. Common approaches include gradient-based perturbations, black-box query and evolutionary search, generative or semantic changes, physical patches and sensor interference, and poisoning or backdoors. Work spans image, language, audio, graph, and time-series models as well as federated learning, recommenders, robotics, and AI agents, with evaluations on benchmarks and increasingly realistic deployment settings. A central tension is that attacks must be effective and stealthy under practical constraints, while defenses and benchmarks must keep pace with adaptive threats and distinguish digital robustness from real-world resilience.

Latest papers

CardsList

451 papers54 papers in the last four weeks, up 69% on the four weeks before. 0.3% of all new papers.

  1. Trustworthy AI-Driven Dynamic Hybrid RIS: Joint Optimization and Reward Poisoning-Resilient Control in Cognitive MISO Networks

    Mar 27, 2026Deemah H. Tashman, Soumaya CherkaouiWireless CommunicationsReconfigurable Intelligent Surfaces

  2. Mitigating Evasion Attacks in Fog Computing Resource Provisioning Through Proactive Hardening

    Mar 26, 2026Younes Salmi, Hanna BoguckaAdversarial Attacks

  3. Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting

    Mar 25, 2026Alabi Mehzabin Anisha, Guangjing Wang, Sriram ChellappanAdversarial AttacksTransfer-Based Adversarial Attacks

  4. Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute Leakage

    Mar 25, 2026Faiz Taleb, Ivan Gazeau, Maryline LaurentUser Attribute Inference AttacksMembership Inference Attacks

  5. PoiCGAN: A Targeted Poisoning Based on Feature-Label Joint Perturbation in Federated Learning

    Mar 24, 2026Tao Liu, Jiguang Lv, Dapeng Man +7Data Poisoning AttacksAdversarial Attacks

  6. OmniPatch: A Universal Adversarial Patch for ViT-CNN Cross-Architecture Transfer in Semantic Segmentation

    Mar 21, 2026Aarush Aggarwal, Akshat Tomar, Amritanshu Tiwari +1Adversarial Patch AttacksAdversarial Attacks

  7. Adversarial Attacks on Locally Private Graph Neural Networks

    Mar 21, 2026Matta Varun, Ajay Kumar Dhakar, Yuan Hong +1Adversarial AttacksGraph Neural Networks

  8. CAMA: Exploring Collusive Adversarial Attacks in c-MARL

    Mar 20, 2026Men Niu, Xinxin Fan, Quanliang Jing +2Adversarial AttacksAdversarial MARL

  9. Robustness, Cost, and Attack-Surface Concentration in Phishing Detection

    Mar 19, 2026Julian Allagan, Mohamed Elbakary, Zohreh Safari +4Phishing DetectionAdversarial Robustness

  10. On Optimizing Multimodal Jailbreaks for Spoken Language Models

    Mar 19, 2026Aravind Krishnan, Karolina Stańczak, Dietrich KlakowAdversarial AttacksLLM Jailbreak Attacks

  11. Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks

    Mar 19, 2026Jiahao Zhang, Yilong Wang, Suhang WangGraph UnlearningAdversarial Attacks

  12. REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models

    Mar 17, 2026Yong Zou, Haoran Li, Fanxiao Li +5Adversarial AttacksAdversarial Robustness

  13. AI Evasion and Impersonation Attacks on Facial Re-Identification with Activation Map Explanations

    Mar 16, 2026Noe Claudel, Weisi Guo, Yang XingAdversarial AttacksAdversarial Patch Attacks

  14. Hijacking online reviews: sparse manipulation and behavioral buffering in popularity-biased rating systems

    Mar 16, 2026Itsuki Fujisaki, Kunhao YangPopularity Bias in Recommender SystemsRecommender Systems

  15. Architecture-Agnostic Feature Synergy for Universal Defense Against Heterogeneous Generative Threats

    Mar 16, 2026Bingxue Zhang, Yang Gao, Feida Zhu +2Adversarial AttacksAdversarial Perturbations

  16. Visual Confused Deputy: Exploiting and Defending Perception Failures in Computer-Using Agents

    Mar 16, 2026Xunzhuo Liu, Bowei He, Xue Liu +3Computer-Use Agent SafetyAI Agent Security

  17. Benchmarking the Energy Cost of Assurance in Neuromorphic Edge Robotics

    Mar 14, 2026Sylvester KaczmarekAdversarial RobustnessNeuromorphic Computing

  18. Sirens' Whisper: Inaudible Near-Ultrasonic Jailbreaks of Speech-Driven LLMs

    Mar 14, 2026Zijian Ling, Pingyi Hu, Xiuyong Gao +6Adversarial AttacksLLM Security

  19. Spectral Defense Against Resource-Targeting Attack in 3D Gaussian Splatting

    Mar 13, 2026Yang Chen, Yi Yu, Jiaming He +33D Gaussian SplattingAdversarial Robustness

  20. CtrlAttack: A Unified Attack on World-Model Control in Diffusion Models

    Mar 13, 2026Shuhan Xu, Siyuan Liang, Hongling Zheng +4Adversarial AttacksImage-to-Video Generation

  21. 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

  22. Backdoor Directions in Vision Transformers

    Mar 11, 2026Sengim Karayalcin, Marina Krcek, Pin-Yu Chen +1Backdoor DetectionVision Transformer

  23. Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks

    Mar 11, 2026Nasim Soltani, Shayan Nejadshamsi, Zakaria Abou El Houda +4Network Intrusion DetectionAdversarial Robustness

  24. NetDiffuser: Deceiving DNN-Based Network Attack Detection Systems with Diffusion-Generated Adversarial Traffic

    Mar 9, 2026Pratyay Kumar, Abu Saleh Md Tayeen, Satyajayant Misra +4Adversarial AttacksAdversarial Examples