{"total":16,"rows":[{"id":"2108.06179","title":"Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks","created":"2021-08-13","cited_by_count":55,"area":null},{"id":"2201.01850","title":"On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving","created":"2022-01-05","cited_by_count":30,"area":null},{"id":"2212.04138","title":"Targeted Adversarial Attacks against Neural Network Trajectory Predictors","created":"2022-12-08","cited_by_count":11,"area":null},{"id":"2203.07341","title":"Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis","created":"2022-03-14","cited_by_count":10,"area":null},{"id":"2101.12100","title":"Increasing the Confidence of Deep Neural Networks by Coverage Analysis","created":"2021-01-28","cited_by_count":9,"area":null},{"id":"2201.01235","title":"On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error","created":"2022-01-04","cited_by_count":6,"area":null},{"id":"2109.08191","title":"Simple Post-Training Robustness Using Test Time Augmentations and Random Forest","created":"2021-09-16","cited_by_count":4,"area":null},{"id":"2105.10101","title":"Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks","created":"2021-05-21","cited_by_count":3,"area":null},{"id":"2105.08620","title":"Adversarial Examples Detection with Bayesian Neural Network","created":"2021-05-18","cited_by_count":2,"area":null},{"id":"2508.16225","title":"An Investigation of Visual Foundation Models Robustness","created":"2025-08-22","cited_by_count":2,"area":null},{"id":"2201.01080","title":"Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection","created":"2022-01-04","cited_by_count":1,"area":null},{"id":"2304.13919","title":"Detection of Adversarial Physical Attacks in Time-Series Image Data","created":"2023-04-27","cited_by_count":1,"area":null},{"id":"2412.12373","title":"Quantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities","created":"2024-12-16","cited_by_count":1,"area":null},{"id":"2604.25491","title":"The Forensic Cost of Watermark Removal: From Dedicated Attacks to Image Editing","created":"2026-04-28","cited_by_count":1,"area":null},{"id":"2107.10480","title":"Unsupervised Detection of Adversarial Examples with Model Explanations","created":"2021-07-22","cited_by_count":0,"area":null},{"id":"2603.10689","title":"Contract And Conquer: How to Provably Compute Adversarial Examples for a Black-Box Model?","created":"2026-03-11","cited_by_count":0,"area":null}],"next_cursor":null}