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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
Quality-Aware Adversarial Ensemble for Singer Identification in 1960s Tamil Film Music
EACL 2026
A Simple and Efficient Learning-Style Prompting for LLM Jailbreaking
EACL 2026
Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization
EACL 2026
Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges
AAAI 2026
Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
AAAI 2026
Stabilizing Cross-Modal Bidirectional Attribution: Few-Shot Adversarial Prompt Tuning for Robust Vision-Language Models
AAAI 2026
3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
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
Spatial-Spectral Homogeneous Attacks on Physical-World Large Vision-Language Models
AAAI 2026
Improving Sustainability of Adversarial Examples in Class-Incremental Learning
AAAI 2026
Prompting Adversarial Transferability via Path Flatness Attack
AAAI 2026
Certified but Fooled! Breaking Certified Defenses with Ghost Certificates
AAAI 2026
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
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
Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks Using Hyperparameter Tuning
AAAI 2026
Boosting Adversarial Transferability via Ensemble Non-Attention
AAAI 2026
Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning
AAAI 2026
Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs
AAAI 2026
FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training
AAAI 2026
GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs
AAAI 2026
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
AAAI 2026
Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System
AAAI 2026
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