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Deep Learning
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Adversarial Learning
2063 directly classified papers
Papers per year
2010: 2
2014: 1
2015: 2
2016: 6
2017: 34
2018: 132
2019: 216
2020: 301
2021: 296
2022: 301
2023: 239
2024: 276
2025: 254
2026: 3
Papers
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization
AAAI 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
AAAI 2024
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
NIPS 2024
A Closer Look at Curriculum Adversarial Training: From an Online Perspective
AAAI 2024
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
AAAI 2024
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation
EMNLP 2024
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks
AAAI 2024
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
NIPS 2024
On the Convergence of an Adaptive Momentum Method for Adversarial Attacks
AAAI 2024
DRF: Improving Certified Robustness via Distributional Robustness Framework
AAAI 2024
Adversarial Schrödinger Bridge Matching
NIPS 2024
Generating Universal Adversarial Perturbations for Quantum Classifiers
AAAI 2024
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks
AAAI 2024
Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition
AAAI 2024
When Generative Adversarial Networks Meet Sequence Labeling Challenges
EMNLP 2024
Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
ACL 2024
Clarifying the Behavior and the Difficulty of Adversarial Training
AAAI 2024
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
NIPS 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
AAAI 2024
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning
AAAI 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
NIPS 2024
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
AAAI 2024
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
NIPS 2024
GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
NIPS 2024
Breaking Semantic Artifacts for Generalized AI-generated Image Detection
NIPS 2024
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