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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Good Gradients Poison Your Model: Evading Defenses in Federated Learning via Boundary-adaptive Perturbation AAAI 2026

Universal Adversarial Purification with DDIM Metric Loss for Stable Diffusion AAAI 2026

Boosting Adversarial Transferability via Ensemble Non-Attention AAAI 2026

Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks Using Hyperparameter Tuning AAAI 2026

Manipulating the Mind’s Eye: A-SAGE, the Attention-Based Attack on ViT Explainability AAAI 2026

SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs AAAI 2026

Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation AAAI 2026

Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs AAAI 2026

Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization AAAI 2026

Text-Guided Gradient Refinement: Resolving Multimodal Gradient Conflicts to Boost Adversarial Attacks on Vision-Language Models AAAI 2026

TRACE: Confounder-free Adversarial Fine-tuning for Robust Object Detection WACV 2026

Semantic Feature Purification for Adversarially-Aware RGB-T Tracking AAAI 2026

Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships WACV 2026

De-Speakerizing Accented ASR: Measuring and Mitigating Speaker Entanglement for Fair, Reliable Recognition AAAI 2026

HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer WACV 2026

Patch Your Matcher: Correspondence-Aware Image-to-Image Translation Unlocks Cross-Modal Matching via Single-Modality Priors WACV 2026

Lose Your Self (LoYS): An Adversarial Entropy-based Unsupervised Approach for Model Debiasing WACV 2026

MageBench: Bridging Large Multimodal Models to Agents WACV 2026

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles AAAI 2026

Cluster-Guided Adversarial Perturbations for Robust Contrastive Learning WACV 2026

Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation AAAI 2026

Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning AAAI 2026

Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance AAAI 2026

AT-Field: Rethinking the Games in Adversarial Training AAAI 2026

Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System AAAI 2026