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

Good Gradients Poison Your Model: Evading Defenses in Federated Learning via Boundary-adaptive Perturbation AAAI 2026
Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs AAAI 2026
Breaking Cross-View Associations: Byzantine Model Poisoning Attack against Vertical Federated Learning AAAI 2026
Poisoning with a Pill: Circumventing Detection in Federated Learning AAAI 2026
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning AAAI 2025
Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack ICCV 2025
IBAS:Imperceptible Backdoor Attacks in Split Learning with Limited Information AAAI 2025
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning AAAI 2025
Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach IJCAI 2025
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients IJCAI 2025
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025
Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods EMNLP 2025
Backdoor NLP Models via AI-Generated Text COLING 2024
DarkFed: A Data-Free Backdoor Attack in Federated Learning IJCAI 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning IJCAI 2024
Re-thinking Data Availability Attacks Against Deep Neural Networks CVPR 2024
Chronic Poisoning: Backdoor Attack against Split Learning AAAI 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NIPS 2024
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning AAAI 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning NIPS 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks NIPS 2024
Data Free Backdoor Attacks NIPS 2024
Attacks against Federated Learning Defense Systems and their Mitigation JMLR 2023