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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Detecting Adversarial Data Using Perturbation Forgery CVPR 2025
ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers ICCV 2025
Neuromanifold-Regularized KANs for Shape-fair Feature Representations ICCV 2025
PLA: Prompt Learning Attack against Text-to-Image Generative Models ICCV 2025
DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing ICCV 2025
Minimizing Queries, Maximizing Impact: Adaptive Score-Based Attack and Defense for Sentiment Analysis IJCNLP 2025
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences ACL 2025
Prototype Guided Backdoor Defense via Activation Space Manipulation ICCV 2025
Adversarial Alignment with Anchor Dragging Drift (A3D2): Multimodal Domain Adaptation with Partially Shifted Modalities ACL 2025
Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix Approach ACL 2025
Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025
FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling ICCV 2025
DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025
Evading Toxicity Detection with ASCII-art: A Benchmark of Spatial Attacks on Moderation Systems ACL 2025
Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis CVPR 2025
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment CVPR 2025
Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks CVPR 2025
VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service ACL 2025
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift CVPR 2025
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025
Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal CVPR 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data CVPR 2025
Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor AAAI 2025
Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning AAAI 2025
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models CVPR 2025