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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Jailbreaking? One Step Is Enough! ACL 2025
Adversarial Machine Unlearning ICLR 2025
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors AAAI 2025
FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks IJCAI 2025
Adversarial Purification via Super-Resolution and Diffusion ICCV 2025
PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization ACL 2025
Stepwise Reasoning Disruption Attack of LLMs ACL 2025
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement AAAI 2025
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations ACL 2025
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution AAAI 2025
BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banks IJCAI 2025
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers IJCAI 2025
Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applications IJCAI 2025
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability AAAI 2025
RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition IJCAI 2025
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025
Adversarial Propensity Weighting for Debiasing in Collaborative Filtering IJCAI 2025
RDPA: Real-Time Distributed-Concentrated Penetration Attack for Point Cloud Learning IJCAI 2025
Drafting and Revision: Advancing High-Fidelity Video Inpainting IJCAI 2025
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks IJCAI 2025
Atoxia: Red-teaming Large Language Models with Target Toxic Answers NAACL 2025
MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation IJCAI 2025
Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization IJCAI 2025
BitAbuse: A Dataset of Visually Perturbed Texts for Defending Phishing Attacks NAACL 2025