conftrace_

poisoning attack

98 papers

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Co-occurring keywords

backdoor attack (385) adversarial attack (1621) adversarial learning (1595) federated learning (1333) data poisoning (128) adversarial defense (325) adversarial robustness (1341) model poisoning (49) graph neural network (3962) model security (118)

Papers

The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning ICCV 2023
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks AAAI 2023
Training-Time Attacks against K-nearest Neighbors AAAI 2023
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense AAAI 2023
Poisoning-Based Backdoor Attacks in Computer Vision AAAI 2023
Defending against Insertion-based Textual Backdoor Attacks via Attribution ACL 2023
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation EMNLP 2023
Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks CVPR 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis ICCV 2023
Poisoning Generative Replay in Continual Learning to Promote Forgetting ICML 2023
Robustly-reliable learners under poisoning attacks COLT 2022
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning IJCAI 2022
Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract) AAAI 2022
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning AAAI 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios IJCAI 2022
Backdoor Attacks on Self-Supervised Learning CVPR 2022
Towards Class-Oriented Poisoning Attacks Against Neural Networks WACV 2022
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification AAAI 2022
A General Framework for Auditing Differentially Private Machine Learning NIPS 2022
On Optimal Learning Under Targeted Data Poisoning NIPS 2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning NIPS 2022
Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework NIPS 2022
FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates AAAI 2022
CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets AAAI 2022