{"total":16,"rows":[{"id":"2103.01498","title":"A Survey On Universal Adversarial Attack","created":"2021-03-02","cited_by_count":59,"area":null},{"id":"2110.01823","title":"Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations","created":"2021-10-05","cited_by_count":28,"area":null},{"id":"2203.16000","title":"StyleFool: Fooling Video Classification Systems via Style Transfer","created":"2022-03-30","cited_by_count":20,"area":null},{"id":"2103.14211","title":"MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes","created":"2021-03-26","cited_by_count":17,"area":null},{"id":"2110.15629","title":"Attacking Video Recognition Models with Bullet-Screen Comments","created":"2021-10-29","cited_by_count":16,"area":null},{"id":"2111.05468","title":"Sparse Adversarial Video Attacks with Spatial Transformations","created":"2021-11-10","cited_by_count":11,"area":null},{"id":"2109.05830","title":"Adversarial Bone Length Attack on Action Recognition","created":"2021-09-13","cited_by_count":10,"area":null},{"id":"2111.09137","title":"Two-Face: Adversarial Audit of Commercial Face Recognition Systems","created":"2021-11-17","cited_by_count":8,"area":null},{"id":"2312.09935","title":"LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer","created":"2023-12-15","cited_by_count":7,"area":null},{"id":"2304.14601","title":"Improve Video Representation with Temporal Adversarial Augmentation","created":"2023-04-28","cited_by_count":3,"area":null},{"id":"2408.12099","title":"Query-Efficient Video Adversarial Attack with Stylized Logo on Service Computing","created":"2024-08-22","cited_by_count":3,"area":null},{"id":"2403.11656","title":"LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model","created":"2024-03-18","cited_by_count":2,"area":null},{"id":"2510.21532","title":"FrameShield: Adversarially Robust Video Anomaly Detection","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2305.06540","title":"Inter-frame Accelerate Attack against Video Interpolation Models","created":"2023-05-11","cited_by_count":1,"area":null},{"id":"2602.11244","title":"Stress Tests REVEAL Fragile Temporal and Visual Grounding in Video-Language Models","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2601.14302","title":"DDSA: Dual-Domain Strategic Attack for Spatial-Temporal Efficiency in Adversarial Robustness Testing","created":"2026-01-18","cited_by_count":0,"area":null}],"next_cursor":null}