{"total":33,"rows":[{"id":"2108.00401","title":"Advances in adversarial attacks and defenses in computer vision: A survey","created":"2021-08-01","cited_by_count":127,"area":null},{"id":"2104.06728","title":"Adversarial Sticker: A Stealthy Attack Method in the Physical World","created":"2021-04-14","cited_by_count":93,"area":null},{"id":"2103.06504","title":"Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink","created":"2021-03-11","cited_by_count":75,"area":null},{"id":"2101.08154","title":"Fooling thermal infrared pedestrian detectors in real world using small bulbs","created":"2021-01-20","cited_by_count":51,"area":null},{"id":"2205.13412","title":"Physical-World Optical Adversarial Attacks on 3D Face Recognition","created":"2022-05-26","cited_by_count":23,"area":null},{"id":"2108.09454","title":"\"Adversarial Examples\" for Proof-of-Learning","created":"2021-08-21","cited_by_count":20,"area":null},{"id":"2101.10011","title":"They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors","created":"2021-01-25","cited_by_count":17,"area":null},{"id":"2112.04558","title":"SoK: Anti-Facial Recognition Technology","created":"2021-12-08","cited_by_count":16,"area":null},{"id":"2204.02675","title":"Rolling Colors: Adversarial Laser Exploits against Traffic Light Recognition","created":"2022-04-06","cited_by_count":15,"area":null},{"id":"2305.01074","title":"Physical Adversarial Attacks for Surveillance: A Survey","created":"2023-05-01","cited_by_count":15,"area":null},{"id":"2209.04779","title":"Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense","created":"2022-09-11","cited_by_count":14,"area":null},{"id":"2401.03582","title":"Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception","created":"2024-01-07","cited_by_count":14,"area":null},{"id":"2206.01034","title":"Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs","created":"2022-06-02","cited_by_count":11,"area":null},{"id":"2209.02430","title":"Adversarial Color Film: Effective Physical-World Attack to DNNs","created":"2022-09-02","cited_by_count":11,"area":null},{"id":"2211.01671","title":"Visual Adversarial Attacks and Defenses in the Physical World: A Survey","created":"2022-11-03","cited_by_count":11,"area":null},{"id":"2303.12249","title":"State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems","created":"2023-03-22","cited_by_count":8,"area":null},{"id":"2204.00853","title":"Adversarial Neon Beam: A Light-based Physical Attack to DNNs","created":"2022-04-02","cited_by_count":6,"area":null},{"id":"2206.12251","title":"Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs","created":"2022-06-23","cited_by_count":4,"area":null},{"id":"2410.16317","title":"A Survey on Physical Adversarial Attacks against Face Recognition Systems","created":"2024-10-10","cited_by_count":4,"area":null},{"id":"2202.02751","title":"Tubes Among Us: Analog Attack on Automatic Speaker Identification","created":"2022-02-06","cited_by_count":3,"area":null},{"id":"2308.01840","title":"URET: Universal Robustness Evaluation Toolkit (for Evasion)","created":"2023-08-03","cited_by_count":3,"area":null},{"id":"2307.13131","title":"Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations","created":"2023-07-24","cited_by_count":2,"area":null},{"id":"2407.08514","title":"Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems","created":"2024-07-11","cited_by_count":2,"area":null},{"id":"2207.01149","title":"RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries","created":"2022-07-04","cited_by_count":1,"area":null},{"id":"2209.09652","title":"Adversarial Color Projection: A Projector-based Physical Attack to DNNs","created":"2022-09-19","cited_by_count":1,"area":null},{"id":"2209.11739","title":"Adversarial Catoptric Light: An Effective, Stealthy and Robust Physical-World Attack to DNNs","created":"2022-09-19","cited_by_count":1,"area":null},{"id":"2307.13294","title":"Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation","created":"2023-07-25","cited_by_count":1,"area":null},{"id":"2310.00438","title":"Human-Producible Adversarial Examples","created":"2023-09-30","cited_by_count":1,"area":null},{"id":"2311.16118","title":"Imperceptible CMOS camera dazzle for adversarial attacks on deep neural networks","created":"2023-10-22","cited_by_count":0,"area":null},{"id":"2501.08258","title":"Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World","created":"2025-01-14","cited_by_count":0,"area":null},{"id":"2501.15653","title":"A Privacy Enhancing Technique to Evade Detection by Street Video Cameras Without Using Adversarial Accessories","created":"2025-01-26","cited_by_count":0,"area":null},{"id":"2504.15823","title":"Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models","created":"2025-04-22","cited_by_count":0,"area":null},{"id":"2507.18457","title":"Revisiting Physically Realizable Adversarial Object Attack against LiDAR-based Detection: Clarifying Problem Formulation and Experimental Protocols","created":"2025-07-24","cited_by_count":0,"area":null}],"next_cursor":null}