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Adversarial Learning

4854 directly classified papers

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Papers

DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing ICCV 2025
HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval AAAI 2025
ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers ICCV 2025
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension JMLR 2025
SilverSpeak: Evading AI-Generated Text Detectors using Homoglyphs COLING 2025
Backdoor Attack on Vertical Federated Graph Neural Network Learning IJCAI 2025
DAMAGE: Detecting Adversarially Modified AI Generated Text COLING 2025
Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation ICCV 2025
Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm WACV 2025
Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs IJCAI 2025
Asset Pricing with Contrastive Adversarial Variational Bayes IJCAI 2025
Open-Unfairness Adversarial Mitigation for Generalized Deepfake Detection ICCV 2025
Accelerating Adversarial Training on Under-Utilized GPU IJCAI 2025
Enhancing Transferability of Audio Adversarial Example for Both Frequency- and Time-domain IJCAI 2025
Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features ICCV 2025
KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles ICCV 2025
Generic Adversarial Attack Framework Against Vertical Federated Learning IJCAI 2025
RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework IJCAI 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning IJCAI 2025
HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model IJCAI 2025
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations AAAI 2025
KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models AAAI 2025
Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025
When Visual State Space Model Meets Backdoor Attacks WACV 2025