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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
FRBAT: Conditionally-Visible Physical Backdoor Attack via Fluorescence
AAAI 2026
Unnoticed Yet Effective: A Hybrid Physical Camouflage Framework Against DNNs and Human Perception
AAAI 2026
MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents
AAAI 2026
TextShield-R1: Reinforced Reasoning for Tampered Text Detection
AAAI 2026
Creating Blank Canvas Against AI-enabled Image Forgery
AAAI 2026
Less Is More: Sparse and Cooperative Perturbation for Point Cloud Attacks
AAAI 2026
Prompting Adversarial Transferability via Path Flatness Attack
AAAI 2026
Certified but Fooled! Breaking Certified Defenses with Ghost Certificates
AAAI 2026
Spatial-Spectral Homogeneous Attacks on Physical-World Large Vision-Language Models
AAAI 2026
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach
AAAI 2026
Improving Sustainability of Adversarial Examples in Class-Incremental Learning
AAAI 2026
R-AVST: Empowering Video-LLMs with Fine-Grained Spatio-Temporal Reasoning in Complex Audio-Visual Scenarios
AAAI 2026
Fractured Glass, Failing Cameras: Simulating Physics-Based Adversarial Samples for Autonomous Driving Systems
AAAI 2026
AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
AAAI 2026
OTI: A Model-free and Visually Interpretable Measure of Image Attackability
AAAI 2026
The Emotional Baby Is Truly Deadly: Does Your Multimodal Large Reasoning Model Have Emotional Flattery Towards Humans?
AAAI 2026
Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach
AAAI 2026
LAMP: Learning Universal Adversarial Perturbations for Multi-Image Tasks via Pre-trained Models
AAAI 2026
Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference
AAAI 2026
False Positives Matter: Multidimensional Localization Evaluation and Training-Free Explainable Adversarial Patch Defense
AAAI 2026
Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks
AAAI 2026
Timestep-Compressed Attack on Spiking Neural Networks Through Timestep-Level Backpropagation
AAAI 2026
Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
AAAI 2026
Clean-Label Physical Backdoor Attacks with Data Distillation
AAAI 2026
Stabilizing Cross-Modal Bidirectional Attribution: Few-Shot Adversarial Prompt Tuning for Robust Vision-Language Models
AAAI 2026
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