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Adversarial Learning

4854 directly classified papers

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Papers

Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability AAAI 2025
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks AAAI 2025
Learning Optimal Auctions with Correlated Value Distributions AAAI 2025
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors AAAI 2025
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning AAAI 2025
Learning to Manipulate Under Limited Information AAAI 2025
From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation EMNLP 2025
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025
HITS at DISRPT 2025: Discourse Segmentation, Connective Detection, and Relation Classification EMNLP 2025
reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs EMNLP 2025
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors AAAI 2025
A Unified, Resilient, and Explainable Adversarial Patch Detector CVPR 2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning AAAI 2025
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning AAAI 2025
Invisible Backdoor Attack against Self-supervised Learning CVPR 2025
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning AAAI 2025
3SAT: A Simple Self-Supervised Adversarial Training Framework AAAI 2025
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025
A New Adversarial Perspective for LiDAR-based 3D Object Detection AAAI 2025
Robust SAM: On the Adversarial Robustness of Vision Foundation Models AAAI 2025
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach AAAI 2025
KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models AAAI 2025
RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack AAAI 2025
Minimizing Queries, Maximizing Impact: Adaptive Score-Based Attack and Defense for Sentiment Analysis IJCNLP 2025