{"total":55,"rows":[{"id":"2110.03735","title":"Adversarial Unlearning of Backdoors via Implicit Hypergradient","created":"2021-10-07","cited_by_count":166,"area":null},{"id":"2102.01854","title":"Provably Secure Federated Learning against Malicious Clients","created":"2021-02-03","cited_by_count":63,"area":null},{"id":"2103.03046","title":"PointGuard: Provably Robust 3D Point Cloud Classification","created":"2021-03-04","cited_by_count":49,"area":null},{"id":"2112.06274","title":"SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification","created":"2021-12-12","cited_by_count":46,"area":null},{"id":"2201.10055","title":"Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation","created":"2022-01-25","cited_by_count":32,"area":null},{"id":"2210.00584","title":"FLCert: Provably Secure Federated Learning against Poisoning Attacks","created":"2022-10-02","cited_by_count":30,"area":null},{"id":"2212.10230","title":"A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks","created":"2022-12-20","cited_by_count":22,"area":null},{"id":"2110.04363","title":"Certifying Robustness to Programmable Data Bias in Decision Trees","created":"2021-10-08","cited_by_count":21,"area":null},{"id":"2304.10655","title":"The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions","created":"2023-04-20","cited_by_count":17,"area":null},{"id":"2105.08709","title":"Learning and Certification under Instance-targeted Poisoning","created":"2021-05-18","cited_by_count":13,"area":null},{"id":"2209.04030","title":"Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks","created":"2022-09-08","cited_by_count":12,"area":null},{"id":"2212.04454","title":"XRand: Differentially Private Defense against Explanation-Guided Attacks","created":"2022-12-08","cited_by_count":11,"area":null},{"id":"2101.03042","title":"Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective","created":"2021-01-08","cited_by_count":9,"area":null},{"id":"2310.16221","title":"Hierarchical Randomized Smoothing","created":"2023-10-24","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":"2107.02045","title":"Understanding the Security of Deepfake Detection","created":"2021-07-05","cited_by_count":6,"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":"2210.06704","title":"COLLIDER: A Robust Training Framework for Backdoor Data","created":"2022-10-13","cited_by_count":6,"area":null},{"id":"2308.07553","title":"Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks","created":"2023-08-15","cited_by_count":6,"area":null},{"id":"2205.09986","title":"SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning","created":"2022-05-20","cited_by_count":5,"area":null},{"id":"2301.11824","title":"PECAN: A Deterministic Certified Defense Against Backdoor Attacks","created":"2023-01-27","cited_by_count":5,"area":null},{"id":"2407.10867","title":"Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks","created":"2024-07-15","cited_by_count":5,"area":null},{"id":"2411.03279","title":"Oblivious Defense in ML Models: Backdoor Removal without Detection","created":"2024-11-05","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":"2504.21730","title":"Cert-SSBD: Certified Backdoor Defense with Sample-Specific Smoothing Noises","created":"2025-04-30","cited_by_count":4,"area":null},{"id":"2206.03575","title":"Certifying Data-Bias Robustness in Linear Regression","created":"2022-06-07","cited_by_count":3,"area":null},{"id":"2409.15126","title":"UTrace: Poisoning Forensics for Private Collaborative Learning","created":"2024-09-23","cited_by_count":3,"area":null},{"id":"2409.17328","title":"The poison of dimensionality","created":"2024-09-25","cited_by_count":3,"area":null},{"id":"2406.11522","title":"FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks","created":"2024-06-17","cited_by_count":2,"area":null},{"id":"2409.03077","title":"Backdoor defense, learnability and obfuscation","created":"2024-09-04","cited_by_count":2,"area":null},{"id":"2503.18503","title":"Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations","created":"2025-03-24","cited_by_count":2,"area":null},{"id":"2506.03075","title":"Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2509.25979","title":"Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2311.06227","title":"Does Differential Privacy Prevent Backdoor Attacks in Practice?","created":"2023-11-10","cited_by_count":1,"area":null},{"id":"2312.14461","title":"Attacking Byzantine Robust Aggregation in High Dimensions","created":"2023-12-22","cited_by_count":1,"area":null},{"id":"2503.11841","title":"Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection","created":"2025-03-14","cited_by_count":1,"area":null},{"id":"2504.00170","title":"Backdoor Detection through Replicated Execution of Outsourced Training","created":"2025-03-31","cited_by_count":1,"area":null},{"id":"2101.08177","title":"On Provable Backdoor Defense in Collaborative Learning","created":"2021-01-19","cited_by_count":0,"area":null},{"id":"2201.07063","title":"How to Backdoor HyperNetwork in Personalized Federated Learning?","created":"2022-01-18","cited_by_count":0,"area":null},{"id":"2310.16224","title":"Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks","created":"2023-10-24","cited_by_count":0,"area":null},{"id":"2311.12686","title":"Continuous Management of Machine Learning-Based Application Behavior","created":"2023-11-21","cited_by_count":0,"area":null},{"id":"2312.01281","title":"Mendata: A Framework to Purify Manipulated Training Data","created":"2023-12-03","cited_by_count":0,"area":null},{"id":"2403.02950","title":"A general approach to enhance the survivability of backdoor attacks by decision path coupling","created":"2024-03-05","cited_by_count":0,"area":null},{"id":"2405.18549","title":"Learning from Uncertain Data: From Possible Worlds to Possible Models","created":"2024-05-28","cited_by_count":0,"area":null},{"id":"2410.00862","title":"Timber! Poisoning Decision Trees","created":"2024-10-01","cited_by_count":0,"area":null},{"id":"2412.10186","title":"MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs","created":"2024-12-13","cited_by_count":0,"area":null},{"id":"2503.17172","title":"Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers","created":"2025-03-21","cited_by_count":0,"area":null},{"id":"2503.20925","title":"Prototype Guided Backdoor Defense","created":"2025-03-26","cited_by_count":0,"area":null},{"id":"2510.08659","title":"Provably Robust Adaptation for Language-Empowered Foundation Models","created":"2025-10-09","cited_by_count":0,"area":null},{"id":"2511.12491","title":"Uncover and Unlearn Nuisances: Agnostic Fully Test-Time Adaptation","created":"2025-11-16","cited_by_count":0,"area":null},{"id":"2604.11416","title":"Exact Certification of Neural Networks and Partition Aggregation Ensembles against Label Poisoning","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2605.21780","title":"Provable Robustness against Backdoor Attacks via the Primal-Dual Perspective on Differential Privacy","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2605.27747","title":"Soft Specialists: $\\alpha$-R\\'enyi Ensembles for Uncertainty-Aware LLM Post-Training","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2609.27124","title":"When Clients Are Orchestrated: Strategic Gradient Manipulation to Defeat Federated Learning Servers with Efficient Defense","created":"2026-09-22","cited_by_count":0,"area":null}],"next_cursor":null}