conftrace_

model poisoning

49 papers

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Co-occurring keywords

federated learning (1333) backdoor attack (385) adversarial learning (1595) adversarial attack (1621) distributed learning (563) poisoning attack (98) adversarial defense (325) data poisoning (128) gradient attack (16) neural network (6616)

Papers

Personalized Federated Learning with Inferred Collaboration Graphs ICML 2023
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning ICML 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
RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks NIPS 2023
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning IJCAI 2023
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023
The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection CVPR 2023
Temporal Robustness against Data poisoning NIPS 2023
IBA: Towards Irreversible Backdoor Attacks in Federated Learning NIPS 2023
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks ICML 2023
Handcrafted Backdoors in Deep Neural Networks NIPS 2022
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification AISTATS 2022
Neurotoxin: Durable Backdoors in Federated Learning ICML 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios IJCAI 2022
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling EMNLP 2022
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 NIPS 2021
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks ICCV 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021
How To Backdoor Federated Learning AISTATS 2020
A Little Is Enough: Circumventing Defenses For Distributed Learning NIPS 2019
Analyzing Federated Learning through an Adversarial Lens ICML 2019
The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018