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Methodology
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Machine Learning
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Adversarial Learning
4854 directly classified papers
Papers per year
2006: 3
2007: 1
2009: 4
2010: 6
2011: 3
2012: 5
2013: 10
2014: 6
2015: 8
2016: 18
2017: 87
2018: 261
2019: 551
2020: 588
2021: 703
2022: 633
2023: 672
2024: 579
2025: 561
2026: 155
Papers
HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors
AAAI 2026
Modulation-Based Backdoors: Leveraging Amplitude and Frequency Patterns to Attack Speaker Recognition
AAAI 2026
C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation
AAAI 2026
Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges
AAAI 2026
Uncovering and Mitigating Destructive Multi-Embedding Attacks in Deepfake Proactive Forensics
AAAI 2026
Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability
AAAI 2026
Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection
AAAI 2026
CP-FREEZER: Latency Attacks Against Vehicular Cooperative Perception
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
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