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

BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning AAAI 2024
Towards the Robustness of Differentially Private Federated Learning AAAI 2024
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation NIPS 2024
Provable Robustness against a Union of L_0 Adversarial Attacks AAAI 2024
Robust Nonparametric Regression under Poisoning Attack AAAI 2024
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation NIPS 2024
Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion IJCAI 2024
Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models CVPR 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NIPS 2024
ContextCite: Attributing Model Generation to Context NIPS 2024
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NIPS 2024
DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models AAAI 2024
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NIPS 2024
Semantic Shield: Defending Vision-Language Models Against Backdooring and Poisoning via Fine-grained Knowledge Alignment CVPR 2024
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases NIPS 2024
Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training COLING 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024
Exploring Model Dynamics for Accumulative Poisoning Discovery ICML 2023
Understanding Backdoor Attacks through the Adaptability Hypothesis ICML 2023
Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers EMNLP 2023
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NIPS 2023
Graph Contrastive Backdoor Attacks ICML 2023
Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents? IJCAI 2023
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning IJCAI 2023
Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network IJCAI 2023