poisoning attack

Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning IJCAI 2021 Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks ICLR 2021 Defending SVMs against poisoning attacks: the hardness and DBSCAN approach UAI 2021 Excess Capacity and Backdoor Poisoning NeurIPS 2021 Learning and certification under instance-targeted poisoning UAI 2021 Manipulating SGD with Data Ordering Attacks NeurIPS 2021 Model-Targeted Poisoning Attacks with Provable Convergence ICML 2021 Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks JMLR 2021 Robust learning under clean-label attack COLT 2021 Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks AAAI 2021 Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics ICLR 2021 Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks ICML 2020 Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder EMNLP 2020 Adversarial Attacks on Neural Networks for Graph Data IJCAI 2019 Can Adversarially Robust Learning LeverageComputational Hardness? ALT 2019 Policy Poisoning in Batch Reinforcement Learning and Control NeurIPS 2019 The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure AAAI 2019 Universal Multi-Party Poisoning Attacks ICML 2019 Learning under p-Tampering Attacks ALT 2018 The Security of Latent Dirichlet Allocation AISTATS 2015 Security Analysis of Online Centroid Anomaly Detection JMLR 2012