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← Learning Types
Machine Learning
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Adversarial Learning
4,854 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
On the Functional Similarity of Robust and Non-Robust Neural Representations
ICML 2023
Noise Based Deepfake Detection via Multi-Head Relative-Interaction
AAAI 2023
Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks
CVPR 2023
AltFreezing for More General Video Face Forgery Detection
CVPR 2023
Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces
CVPR 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
ICML 2023
Prompting for explanations improves Adversarial NLI. Is this true? {Yes} it is {true} because {it weakens superficial cues}
EACL 2023
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning
NIPS 2023
Feature Separation and Recalibration for Adversarial Robustness
CVPR 2023
Angelic Patches for Improving Third-Party Object Detector Performance
CVPR 2023
Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients
ICCV 2023
Regret Matching+: (In)Stability and Fast Convergence in Games
NIPS 2023
Margin-based Neural Network Watermarking
ICML 2023
Enhancing Adversarial Robustness via Score-Based Optimization
NIPS 2023
Learning Fine-Grained Features for Pixel-Wise Video Correspondences
ICCV 2023
Multi-target Backdoor Attacks for Code Pre-trained Models
ACL 2023
TextVerifier: Robustness Verification for Textual Classifiers with Certifiable Guarantees
ACL 2023
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer
AAAI 2023
Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract)
AAAI 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
ICML 2023
Anti-DreamBooth: Protecting Users from Personalized Text-to-image Synthesis
ICCV 2023
Attack Prompt Generation for Red Teaming and Defending Large Language Models
EMNLP 2023
Poisoning-Based Backdoor Attacks in Computer Vision
AAAI 2023
Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training
ICCV 2023
Indirect Adversarial Losses via an Intermediate Distribution for Training GANs
WACV 2023
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