Adversarial Example Detection

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3 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. Detecting Adversarial Images through Response Profiles of Vision-Language Models

    Oct 7, 2026Arash Vashagh, Roozbeh Razavi-FarAdversarial Example DetectionVLM Robustness

    Trustworthy and Secure AI (TSAI) Lab, Faculty of Computer Science, University of New Brunswick, Canada

  2. GraphRectify: Graph-Based Transfer of Adversarial Example Detectors Across Neural Networks

    Oct 7, 2026Arash Vashagh, Roozbeh Razavi-FarAdversarial Example DetectionAdversarial Attacks

    Trustworthy and Secure AI (TSAI) Lab, Faculty of Computer Science, University of New Brunswick, Canada

  3. Robust Evidential Learning Through Latent Consistency

    Oct 1, 2026Charmaine Barker, Daniel Bethell, Simos GerasimouEvidential Deep LearningAdversarial Robustness

    Department of Computer Science, University of York, UK · Department of Elect. Eng., and Computer Science and Eng., Cyprus University of Technology, Cyprus

  4. Detection of Adversarial Attacks on Super-Resolvers Using Spectral Features

    Sep 28, 2026Emma J. Reid, Haley Duba-Sullivan, Tony G. AllenAdversarial Example DetectionImage Super-Resolution

    Human Analysis and Biometrics Oak Ridge Laboratory Oak Ridge, TN, USA · Radar and Computational Imaging Oak Ridge Laboratory Oak Ridge, TN, USA

  5. Backdoor as Probe: Test-Time Adversarial Defense for CLIP

    Sep 28, 2026Zhongqi Wang, Jie Zhang, Nie Sen +3VLM RobustnessBackdoor Defense

    Key Laboratory of AI Safety of CAS, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China · University of Chinese Academy of Sciences, Beijing, China · Xuzhou University of Technology, China

  6. Preprocessing Failure and Adversarial Detection in Depthwise-Separable Edge Vision Systems

    Sep 3, 2026Jannatul Masruk Mukta, Rifa Sanjida, Adrita Rahman Tory +2Edge InferenceAdversarial Robustness

    Bangladesh University of Business and Technology (BUBT), Mirpur-2, Dhaka-1216, Bangladesh · University of New South Wales (UNSW), ACT 2601, Australia

  7. A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods

    Aug 10, 2026Leandro de Souza Rosa, Lorenzo Capelli, Clara Nunes Barrancos +2Convolutional Neural NetworksDimensionality Reduction

    Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi” (DEI) - Alma Mater Studiorum Università di Bologna, Bologna, Italy · Advanced Research Center on Electronic Systems “Ercole De Castro” (ARCES) - Alma Mater Studiorum Università di Bologna, Bologna, Italy

  8. Multi-Task Consistency-based Detection of Adversarial Attacks

    Aug 7, 2026Cong Chen, Jean-Philippe Monteuuis, Jonathan PetitAdversarial Example Detection

    Qualcomm Technologies, Inc. San Diego, CA 92121, USA

  9. Revisiting the Adversarial Robustness of Graph-Based Traffic Forecasting

    Jul 30, 2026Qingzhao ZhangAdversarial AttacksAdversarial Robustness

    The University of Arizoan

  10. Adversarial Deepfake Generation and an Investigation of Purification-Based Adversarial Detection

    Jul 28, 2026Junghyun Kim, Seunghyun Kim, Jiyoung WooDeepfake DetectionAI-Generated Image Detection

    Department of AI and Big Data Engineering, Soonchunhyang University, Asan, South Korea

  11. GeoDetect: Geometric Adversarial Detection for VLPs

    Jul 16, 2026Afsaneh Hasanebrahimi, Hanxun Huang, Christopher Leckie +2VLM RobustnessAdversarial Attacks on VLMs

    The University of Melbourne, Melbourne, Australia · Monash University, Melbourne, Australia

  12. A Unified Detection Framework for AI-Related Content and Artifacts

    Jul 8, 2026Xifeng Zhang, Tao Hu, Yijie Peng +1AI-Generated Text DetectionLLM Hallucination Detection

    School of Mathematical Sciences, Capital Normal University, Beijing 100048, China · School of Management and Engineering, Nanjing University, Nanjing 210008, China · Advanced Institute of Information Technology, Peking University +1

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

    Jun 29, 2026Hodaya Krakover, Meir Yossef Levi, Eyal Gofer +1Adversarial Example Detection

    Technion - Israel Institute of Technology, Haifa, Israel

  14. USAD: Uncertainty-aware Statistical Adversarial Detection

    Jun 26, 2026Zhijian Zhou, Xunye Tian, Jiacheng Zhang +5Two-Sample TestingAdversarial Example Detection

    The University of Melbourne

  15. What Was That Again? Certified Robustness for Automatic Speech Recognition

    Jun 26, 2026Andrew C. Cullen, Neil G. Marchant, Jiani Xie +2ASR EvaluationNeural Network Robustness

    University of Melbourne · DST Group, Adelaide

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

    Jun 25, 2026Maher Boughdiri, Mounira Msahli, Albert BifetAdversarial Example DetectionImage Classification

    LTCI, Département Informatique et Réseaux, Télécom Paris, Institut Polytechnique de Paris, France

  17. DE-FIVE: Detecting Malicious Image Prompts via Fourier Features and Image Vector Embeddings

    Jun 22, 2026Xingwei Zhong, Varun Sharma, Kar Wai Fok +1VLM RobustnessIndirect Prompt Injection

  18. Online Shift Detection and Conformal Adaptation for Deployed Safety Classifiers

    Jun 10, 2026Jun Wen LeongDistribution ShiftConformal Prediction

  19. Adversarial Attack and Disturbance Detection by Hadamard-Coded Output Representations for Object Detection and Semantic Segmentation

    Jun 8, 2026Lucas Görnhardt, Timo Bartels, Niklas Schwarz +1Adversarial PerturbationsObject Detection

    Technische Universität Braunschweig, Germany

  20. Securing Self-supervised Data Curation for Foundation Models Robustness

    Jun 8, 2026Sandeep Gupta, Roberto PasseroneTraining Data CurationAdversarial Example Detection

    Centre for Secure Information Technologies (CSIT), Queen’s University Belfast, UK. · Department of Information Engineering and Computer Science, University of Trento, Italy.

  21. SCI-Defense: Defending Manipulation Attacks from Generative Engine Optimization

    May 21, 2026Xucheng Yu, Haibo Jin, Huimin Zeng +1LLM RerankingAdversarial Example Detection

    Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign · School of Information Sciences, University of Illinois Urbana-Champaign · Amazon

  22. Detecting Fluent Optimization-Based Adversarial Prompts via Sequential Entropy Changes

    May 19, 2026Mohammed Alshaalan, Miguel R. D. RodriguesAdversarial Attacks on LLMsJailbreak Detection

    Department of Electronic and Electrical Engineering, University College London, London, United Kingdom.

  23. Enabling Adversarial Robustness in AI Models through Kubeflow MLOps

    May 14, 2026Stavros Bouras, Ioannis Korontanis, Antonios Makris +1Adversarial AttacksAdversarial Robustness

    School of Electrical and Computer Engineering, National Technical University of Athens, Greece · Department of Informatics and Telematics, Harokopio University of Athens, Greece

  24. A Mimetic Detector for Adversarial Image Perturbations

    May 12, 2026Johnny CorbinoAdversarial ExamplesAdversarial Perturbations

    Lawrence Berkeley National Laboratory · Berkeley, CA, USA

  25. Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs

    May 8, 2026Hao Wang, Yiqun Sun, Pengfei Wei +2VLM RobustnessAdversarial Attacks on VLMs

    2Waseda University · 1Magellan Technology Research Institute (MTRI)

  26. Detecting Adversarial Data via Provable Adversarial Noise Amplification

    May 4, 2026Furkan Mumcu, Yasin YilmazSpectral RegularizationAdversarial Robustness

    University of South Florida

  27. Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders

    Apr 30, 2026Emma Andrews, Sahan Sanjaya, Prabhat MishraAdversarial RobustnessQuantum Machine Learning

    University of Florida, Gainesville, Florida, USA

  28. Latent Adversarial Detection: Adaptive Probing of LLM Activations for Multi-Turn Attack Detection

    Apr 30, 2026Prashant KulkarniPrompt Injection Attacks on LLMsAdversarial Example Detection

    Mountain View, CA

  29. The Unseen Adversaries: Robust and Generalized Defense Against Adversarial Patches

    Apr 29, 2026Vishesh Kumar, Akshay AgarwalAdversarial Patch AttacksOOD Detection

    Trustworthy BiometraVision Lab, Indian Institute of Science Education and Research Bhopal, India

  30. Mechanistic Anomaly Detection via Functional Attribution

    Apr 21, 2026Hugo Lyons Keenan, Christopher Leckie, Sarah ErfaniAdversarial Example DetectionAnomaly Detection

    School of Computing and Information Systems, The University of Melbourne, Victoria, Australia.