model poisoning

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024 WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks NeurIPS 2024 Attacks against Federated Learning Defense Systems and their Mitigation JMLR 2023 Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning ICML 2023 DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023 Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning IJCAI 2023 Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks ICML 2023 FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning ICLR 2023 IBA: Towards Irreversible Backdoor Attacks in Federated Learning NeurIPS 2023 LeadFL: Client Self-Defense against Model Poisoning in Federated Learning ICML 2023 Personalized Federated Learning with Inferred Collaboration Graphs ICML 2023 Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023 RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks NeurIPS 2023 Temporal Robustness against Data poisoning NeurIPS 2023 The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection CVPR 2023 Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling EMNLP 2022 Handcrafted Backdoors in Deep Neural Networks NeurIPS 2022 Neurotoxin: Durable Backdoors in Federated Learning ICML 2022 Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios IJCAI 2022 SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification AISTATS 2022 CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021 Ditto: Fair and Robust Federated Learning Through Personalization ICML 2021 FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective NeurIPS 2021 LIRA: Learnable, Imperceptible and Robust Backdoor Attacks ICCV 2021 WaNet - Imperceptible Warping-based Backdoor Attack ICLR 2021