Adversarial Examples

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  1. On the Vulnerability of Parameter-Level Defenses to Model Merging

    Jun 29, 2026Kuangpu Guo, Qingyan Zheng, Jian Liang +4Model-Agnostic DefenseContinual Model Merging

  2. A Classifier-Agnostic Zero-Shot Adversarial Attack Detection via CLIP

    Jun 29, 2026Hodaya Krakover, Meir Yossef Levi, Eyal Gofer +1Adversarial ExamplesDetection Framework

  3. Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors

    Jun 29, 2026Chengzeng You, Binbin Xu, Soteris Demetriou3D Object DetectionAdversarial Examples

  4. RoAd-RL: A Unified Library and Benchmark for Robust Adversarial Reinforcement Learning

    Jun 29, 2026Adithya Mohan, Daniel Kriegl, Torsten SchönJoint Reinforcement LearningAdversarial Training

  5. Rethinking Generative Reconstruction Attacks against Graph Neural Network Models

    Jun 29, 2026Adebayo Keji, Sayanton DibboGraph Neural NetworksGraph Representation Learning

  6. ASTAD: Asymmetric Style Transfer for Synthetic-to-Real Adaptation in Autonomous Driving

    Jun 28, 2026Dingyi Yao, Xinqi Zhang, Lihui Peng +3Synthetic-To-Real Domain GapAutonomous Driving

  7. USAD: Uncertainty-aware Statistical Adversarial Detection

    Jun 26, 2026Zhijian Zhou, Xunye Tian, Jiacheng Zhang +5Adversarial ExamplesCovariance Estimation

  8. PLAA: Packet-level Adversarial Attacks in Network Traffic Detection

    Jun 26, 2026Jinhao You, Zan Zhou, Shujie Yang +3Intrusion DetectionNetwork Traffic

  9. Improving Adversarial Robustness via Activation Amplification and Attenuation

    Jun 26, 2026Taïga Gonçalves, Yongsong Huang, Tomo Miyazaki +1Adversarial TransferabilityResponse Magnitude

  10. Adversarial Contamination Meets Hard Thresholding: An Iterative Algorithm with Signal Adaptivity and Minimax Optimality

    Jun 26, 2026Shixiang Liu, Hanming YangContaminationMultilevel Image Thresholding

  11. Vulnerability of Natural Language Classifiers to Evolutionary Generated Adversarial Text

    Jun 25, 2026Manjinder Singh, Alexander E. I. Brownlee, Mohamed ElawadyAdversarial ExamplesGenerative Adversarial Network

  12. AEGIS: A Semantic GAN and Evidential Learning Frameworkfor Robust Adversarial Detection in Vision Sensors

    Jun 25, 2026Maher Boughdiri, Mounira Msahli, Albert BifetAdversarial TransferabilityVision Sensors

  13. TEMPO-Diffusion: Temporally Exposed Malicious Poisoning of Diffusion Models

    Jun 24, 2026William Aiken, Paula Branco, Guy-Vincent Jourdan +1Backdoor AttacksAdversarial Examples

  14. The Role of Input Dimensionality in the Emergence and Targeted Control of Adversarial Examples

    Jun 24, 2026Nasrin Malekzadeh Goradel, Niccolo Pancino, Yaser Gholizade Atani +3Adversarial ExamplesIntrinsic Dimensionality

  15. Transferable Attack against Face Swapping in an Extended Space

    Jun 24, 2026Mingzhi Lyu, Yi Huang, Jun Xie +3Deepfake DetectionAdversarial Examples

  16. Test-Input Generation for Tensor Programs: What Actually Finds Kernel Bugs

    Jun 23, 2026Dipankar SarkarFuzzingTensor Programs

  17. PHANTOM: A Large-Scale Dataset of Multimodal Adversarial Attacks for Vision-Language Models

    Jun 23, 2026Simone Gallivanone, Hossein Khodadadi, Mauro Dore +2Adversarial ExamplesAdversarial Evaluation

  18. Dual-Branch Cross-Projection Debiasing through Diffusion-based Disentanglement

    Jun 23, 2026Xiangqian Zhao, Xinyang Jiang, Zhipeng Xu +5Bias MitigationUnsupervised

  19. Trustworthy Image Authentication using Forensic Knowledge Graphs

    Jun 22, 2026Tai D. Nguyen, Matthew C. StammDigital ForensicsAdversarial Examples

  20. Are Safety Guarantees in Neural Networks Safe? How to Compute Trustworthy Robustness Certifications

    Jun 22, 2026Merkouris Papamichail, Konstantinos Varsos, Giorgos Flouris +1Neural Network VerificationCertification

  21. Enforcing Human-like Kinematics in Dexterous Piano Playing via Adversarial Posture Regularization

    Jun 22, 2026Bin Qiu, Yanming Shao, Guanyu Cai +1Dexterous Robot HandsPiano

  22. The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks

    Jun 22, 2026Sannaan Khan, Muhammad U. S. KhanAdversarial ExamplesTraining Data Attribution

  23. Towards Robust Personalized Federated Learning: Vulnerability Assessment and Defense Co-Design

    Jun 22, 2026Mingyuan Fan, Cen ChenFederated LearningPrivacy-Preserving Framework

  24. The Scissors Effect: When Resize-Based Input Diversity Helps or Hurts Transfer Attacks

    Jun 21, 2026Yuhang Jiang, Xiaojing ChenAdversarial TransferabilityAdversarial Examples

  25. Reliability-Guided Adaptive Ensembling for Robust Test-Time Adaptation

    Jun 21, 2026Adam Koziak, Yuhong GuoStable Test-Time AdaptationContinual Test-Time Adaptation

  26. Robustness Cannot be Reduced to Regularization: Studying Adversarial Training Beyond the Linear Case

    Jun 19, 2026David A. R. Robin, Rafael Pinot, Yann ChevaleyreAdversarial TrainingAdversarial Examples

  27. Exploiting Neural Audio Codec Latents for Adversarial Audio Attacks

    Jun 18, 2026Sameek Bhattacharya, Bharath Krishnamurthy, Ajita RattaniNeural Audio CodecsAudio

  28. Adversarial Bandit Optimization with Globally Bounded Perturbations to Convex Losses

    Jun 18, 2026Zhuoyu Cheng, Kohei Hatano, Eiji TakimotoConvex OptimizationConvex Sets

  29. VFACamou: View-Fused Adversarial Camouflage for Environment-Adaptive Physical Evasion

    Jun 18, 2026Shihui Yan, Hu Liu, Junyu Shi +6CamouflageAdversarial Examples

  30. Generalised Eigenvalue Geometry of Semantic Adversarial Attacks

    Jun 17, 2026Martin Anthony, Kaveh Salehzadeh NobariAdversarial ExamplesParaphrasing

  31. Veriphi: Attack-Guided Neural Network Verification with Dataset-Dependent Training Methods

    Jun 16, 2026Pratik Deshmukh, Kartik Arya, Vasili SavinNeural Network VerificationAdversarial Training

  32. MIRAGE: Stealthy Visual Prompt Injection for Vulnerability Detection in Web Agents

    Jun 16, 2026Xuelong Dai, Jianyu Ma, Boyang Ma +3Adversarial ExamplesWeb Agents

  33. Budget-Aware Adaptive Adversarial Patches for Black-Box Object Detection

    Jun 16, 2026Pedram MohajerAnsari, Amir Salarpour, David Fernandez +1Adversarial ExamplesObject Detection

  34. Structured Adversarial Camouflage via Voronoi Diagrams

    Jun 16, 2026Jens Bayer, Stefan Becker, David Münch +2CamouflageAdversarial Examples

  35. TaFD: Threat-Aware Frequency Decoupling for Adversarial Robustness against Heterogeneous Attacks

    Jun 16, 2026Mengda Xie, Yiling He, Meie FangAdversarial TransferabilityTransferable Attack

  36. MorphStrata: Layer-Specific Perturbations for Generating Morphence Students in Time-Series Moving Target Defense

    Jun 16, 2026Abhishek Bhardwaj, Arnav Doshi, Anusri Nagarajan +5Adversarial TransferabilityThreat Models

  37. BadWorld: Adversarial Attacks on World Models

    Jun 15, 2026Linghui Shen, Mingyue Cui, Xingyi YangVideo World ModelsAdversarial Examples

  38. Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs

    Jun 14, 2026Nafiseh Nikeghbal, Amir Hossein Kargaran, Shaghayegh Kolli +1FlipsInstability

  39. ROMPAR: Morphological Completion and Demographic Unlearning for Romanian-Accented Speech Recognition

    Jun 14, 2026Andrei-Marius Avram, Aureliu-Valentin Antonie, Ştefan-Bogdan Badea +3Automatic Speech Recognition SystemsText Corpora

  40. Greedy Coordinate Diffusion: Effective and Semantically Coherent Adversarial Attacks via Diffusion Guidance

    Jun 14, 2026Bohdan Turbal, Blossom Metevier, Max Springer +1Adversarial Examples

  41. Forced Deferral: Manipulating Routing Decisions in Multimodal LLM Cascades

    Jun 13, 2026Zhongye Liu, Yaopei Zeng, Yurui Chang +1Language Model Evasion AttacksMulti-Modal Large Language Models

  42. Attribute Inference from Interactive Targeted Ads

    Jun 13, 2026Peihao LiAdsMembership Inference Attacks

  43. TriAdReview: Triangular Adversarial Review Architecture for Multi-Model Technical Document Generation

    Jun 13, 2026Zhiqiang Zhou, Junliang Dai, Xu LingArtificial Intelligence ReviewersAdversarial Evaluation

  44. An Ensemble Deep Learning Approach for Reliable and Scalable Lemon Leaf Disease Classification

    Jun 12, 2026Shayan Abrar, Sudeepta Mandal, Abdul Awal Yasir +4Tomato DiseasesApple Tree Leaf Disease Segmentation Dataset

  45. GRAPE: Guided Parameter-Space Evolution for Compact Adversarial Robustness

    Jun 12, 2026Zhiyuan Ye, Xiangyu Zhou, Ji Qi +2Adversarial TransferabilityResnet-18

  46. Giving AI a Headache: Acoustic Adversarial Attacks to Computer Vision Applications

    Jun 12, 2026Nicole Villavicencio-Garduño, Maksim Ekin Eren, Milo Prisbrey +2Adversarial ExamplesComputer Vision

  47. Scratched Lenses, Shifted Depth: Passive Camera-Side Optical Attacks

    Jun 12, 2026Qinlin He, Zeming Zhuang, Yongji Wu +3Adversarial ExamplesVision Sensors

  48. Rethinking Backdoor Adversarial Unlearning through the Lens of Catastrophic Forgetting in Continual Learning

    Jun 12, 2026Zhenqian Zhu, Yamin Hu, Yujiang Liu +5Backdoor AttacksAdversarial Examples

  49. Non-Parametric Machine Text Detection via Multi-View Gaussian Processes

    Jun 12, 2026Aleem Khan, Nicholas AndrewsDetection FrameworkMachine-Generated Text Detection

  50. From Attacks to Curricula: Learnability-Guided Adversarial Training for Safe Autonomous Driving

    Jun 12, 2026Yuewen Mei, Tong Nie, Jie Sun +3Autonomous DrivingAdversarial Training

  51. Contrast-Informed Augmentation and Domain-Adversarial Training for Adult-to-Neonatal MR Reconstruction Generalization

    Jun 11, 2026Stephen Moore, Lara Leijser, Richard Frayne +1Adaptive Histogram EqualizationAdversarial Transferability

  52. Quality-Preserving Imperceptible Adversarial Attack on Skeleton-based Human Action Recognition

    Jun 11, 2026Ziyi Chang, Kanglei Zhou, Xiaohui Liang +1Skeleton-Based Action RecognitionAdversarial Examples

  53. Vision-Encoder Behavioral Fingerprints of Image-to-Image Generative Models: A Training-Paradigm-Driven Taxonomy of Six Commercial APIs

    Jun 10, 2026Hunter HillAdversarial TransferabilityFingerprint

  54. Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization

    Jun 10, 2026Xinhai Zou, Chang Zhao, Alireza Aghabagherloo +3Adversarial TransferabilityAdversarial Training

  55. Categorical Robustness Assessment for Machine Learning based Network Intrusion Detection Systems

    Jun 10, 2026Mayank Raj, Nathaniel D. Bastian, Lance Fiondella +1Intrusion DetectionAdversarial Examples

  56. Toward Trustworthy AI: Multi-Target Adversarial Attacks and Robust Defenses for Continuous Data Summarization

    Jun 10, 2026Yuefang Lian, Longkun Guo, Zhongrui Zhao +5Adversarial ExamplesSummarization

  57. Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks

    Jun 10, 2026Omid Ahmadieh, Nima KarimianAdversarial ExamplesIdentity-Conditioned Latent Diffusion Models

  58. Small Data, Big Noise: Adversarial Training for Robust Parameter-Efficient Fine-Tuning

    Jun 9, 2026Eitan Cohen, Idan Simai, Uri ShahamParameter-Efficient Fine-TuningAdversarial Training

  59. Improving Adversarial Transferability on Vision-Language Pre-training Models via Surrogate-Specific Bias Correction

    Jun 9, 2026Lijia Yu, Jiuxin Cao, Yuchen Qiang +3Vision-Language Model AdaptationAdversarial Transferability

  60. Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection

    Jun 9, 2026Dahye Kim, Jaehyun Choi, Hyun Seok Seong +4Ai-Generated Image DetectionAdversarial Examples