data poisoning

Concealed Data Poisoning Attacks on NLP Models NAACL 2021 DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation AAAI 2021 Ditto: Fair and Robust Federated Learning Through Personalization ICML 2021 Exacerbating Algorithmic Bias through Fairness Attacks AAAI 2021 Excess Capacity and Backdoor Poisoning NeurIPS 2021 How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021 Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks AAAI 2021 Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks ICML 2021 Manipulating SGD with Data Ordering Attacks NeurIPS 2021 Mitigating Data Poisoning in Text Classification with Differential Privacy EMNLP 2021 Poisoning Knowledge Graph Embeddings via Relation Inference Patterns ACL 2021 Robust Learning for Data Poisoning Attacks ICML 2021 Robust learning under clean-label attack COLT 2021 Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning NeurIPS 2021 Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching ICLR 2021 Auditing Differentially Private Machine Learning: How Private is Private SGD? NeurIPS 2020 Certified Robustness to Label-Flipping Attacks via Randomized Smoothing ICML 2020 Clean-Label Backdoor Attacks on Video Recognition Models CVPR 2020 FR-Train: A Mutual Information-Based Approach to Fair and Robust Training ICML 2020 MetaPoison: Practical General-purpose Clean-label Data Poisoning NeurIPS 2020 Online Data Poisoning Attacks L4DC 2020 Radioactive data: tracing through training ICML 2020 Attacking Data Transforming Learners at Training Time AAAI 2019 A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning NeurIPS 2019 Data Poisoning against Differentially-Private Learners: Attacks and Defenses IJCAI 2019