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← Learning Types
Deep Learning
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Learning Types
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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
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
NIPS 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
NIPS 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective
AAAI 2024
Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning
NIPS 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models
NIPS 2024
Constrained Diffusion Models via Dual Training
NIPS 2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
ACL 2024
High-dimensional (Group) Adversarial Training in Linear Regression
NIPS 2024
Breaking Semantic Artifacts for Generalized AI-generated Image Detection
NIPS 2024
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models
AAAI 2024
Game-Theoretic Unlearnable Example Generator
AAAI 2024
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
AAAI 2024
Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain
AAAI 2024
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
ACL 2024
Wide Two-Layer Networks can Learn from Adversarial Perturbations
NIPS 2024
Provable Robustness against a Union of L_0 Adversarial Attacks
AAAI 2024
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning
AAAI 2024
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer
AAAI 2024
Backdoor Defense via Test-Time Detecting and Repairing
CVPR 2024
Boosting Adversarial Transferability by Block Shuffle and Rotation
CVPR 2024
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
AAAI 2024
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
AAAI 2024
Conditional Backdoor Attack via JPEG Compression
AAAI 2024
SAME: Sample Reconstruction against Model Extraction Attacks
AAAI 2024
EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection
CVPR 2024
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