{"total":15,"rows":[{"id":"2108.09135","title":"PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier","created":"2021-08-20","cited_by_count":65,"area":null},{"id":"2302.01757","title":"RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion","created":"2023-01-31","cited_by_count":17,"area":null},{"id":"2207.02152","title":"UniCR: Universally Approximated Certified Robustness via Randomized Smoothing","created":"2022-07-05","cited_by_count":10,"area":null},{"id":"2210.01111","title":"MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples","created":"2022-10-03","cited_by_count":9,"area":null},{"id":"2312.03979","title":"Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks","created":"2023-12-07","cited_by_count":8,"area":null},{"id":"2208.13904","title":"Reducing Certified Regression to Certified Classification for General Poisoning Attacks","created":"2022-08-29","cited_by_count":7,"area":null},{"id":"2210.13660","title":"Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning","created":"2022-10-24","cited_by_count":7,"area":null},{"id":"2110.15444","title":"10 Security and Privacy Problems in Large Foundation Models","created":"2021-10-28","cited_by_count":6,"area":null},{"id":"2303.01959","title":"PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees","created":"2023-03-03","cited_by_count":6,"area":null},{"id":"2304.02693","title":"A Certified Radius-Guided Attack Framework to Image Segmentation Models","created":"2023-04-05","cited_by_count":5,"area":null},{"id":"2403.19080","title":"MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models","created":"2024-03-28","cited_by_count":4,"area":null},{"id":"2403.01423","title":"Collective Certified Robustness against Graph Injection Attacks","created":"2024-03-03","cited_by_count":3,"area":null},{"id":"2311.00207","title":"Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems","created":"2023-11-01","cited_by_count":1,"area":null},{"id":"2405.14176","title":"Certified Robustness against Sparse Adversarial Perturbations via Data Localization","created":"2024-05-23","cited_by_count":1,"area":null},{"id":"2507.23335","title":"Scalable and Precise Patch Robustness Certification for Deep Learning Models with Top-k Predictions","created":"2025-07-31","cited_by_count":0,"area":null}],"next_cursor":null}