{"total":21,"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":"2308.07026","title":"AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning","created":"2023-08-14","cited_by_count":103,"area":null},{"id":"2212.12995","title":"Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks","created":"2022-12-26","cited_by_count":42,"area":null},{"id":"2303.15818","title":"Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition","created":"2023-03-28","cited_by_count":33,"area":null},{"id":"2107.01809","title":"Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks","created":"2021-07-05","cited_by_count":32,"area":null},{"id":"2307.12280","title":"Downstream-agnostic Adversarial Examples","created":"2023-07-23","cited_by_count":32,"area":null},{"id":"2209.14262","title":"A Survey on Physical Adversarial Attack in Computer Vision","created":"2022-09-28","cited_by_count":25,"area":null},{"id":"2101.11453","title":"Meta Adversarial Training against Universal Patches","created":"2021-01-27","cited_by_count":19,"area":null},{"id":"2111.04266","title":"Generative Dynamic Patch Attack","created":"2021-11-08","cited_by_count":19,"area":null},{"id":"2111.10759","title":"Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model","created":"2021-11-21","cited_by_count":19,"area":null},{"id":"2206.11225","title":"RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval","created":"2022-06-17","cited_by_count":15,"area":null},{"id":"2403.17409","title":"Neural Clustering based Visual Representation Learning","created":"2024-03-26","cited_by_count":12,"area":null},{"id":"2208.09500","title":"Causality-Inspired Taxonomy for Explainable Artificial Intelligence","created":"2022-08-19","cited_by_count":9,"area":null},{"id":"2203.04623","title":"Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition","created":"2022-03-09","cited_by_count":8,"area":null},{"id":"2408.12387","title":"Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors","created":"2024-08-20","cited_by_count":8,"area":null},{"id":"2104.10868","title":"Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting","created":"2021-04-22","cited_by_count":6,"area":null},{"id":"2307.00309","title":"Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey","created":"2023-07-01","cited_by_count":5,"area":null},{"id":"2504.09361","title":"PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking","created":"2025-04-12","cited_by_count":4,"area":null},{"id":"2406.00282","title":"Adversarial 3D Virtual Patches using Integrated Gradients","created":"2024-06-01","cited_by_count":1,"area":null},{"id":"2308.05320","title":"Generating Transferable and Stealthy Adversarial Patch via Attention-guided Adversarial Inpainting","created":"2023-08-10","cited_by_count":0,"area":null},{"id":"2603.00266","title":"Adversarial Patch Generation for Visual-Infrared Dense Prediction Tasks via Joint Position-Color Optimization","created":"2026-02-27","cited_by_count":0,"area":null}],"next_cursor":null}