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Artificial Intelligence
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Adversarial Learning
1235 directly classified papers
Papers per year
2009: 1
2010: 1
2011: 1
2013: 1
2014: 1
2016: 1
2017: 7
2018: 35
2019: 86
2020: 130
2021: 166
2022: 188
2023: 166
2024: 185
2025: 264
2026: 2
Papers
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
ICML 2022
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
ICML 2022
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
ICML 2022
Robust Models Are More Interpretable Because Attributions Look Normal
ICML 2022
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
ICML 2022
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees
ICML 2022
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack
ICML 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses
ICML 2022
Automatic Fake News Detection: Are current models “fact-checking” or“gut-checking”?
ACL 2022
“That Is a Suspicious Reaction!”: Interpreting Logits Variation to Detect NLP Adversarial Attacks
ACL 2022
Audio Anti-spoofing Using Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning
INTERSPEECH 2022
Adversarial Knowledge Distillation For Robust Spoken Language Understanding
INTERSPEECH 2022
A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network
INTERSPEECH 2022
Adversarial Reweighting for Speaker Verification Fairness
INTERSPEECH 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
NIPS 2022
Foiling Training-Time Attacks on Neural Machine Translation Systems
EMNLP 2022
Discriminative Adversarial Learning for Speaker Independent Emotion Recognition
INTERSPEECH 2022
Making Adversarial Examples More Transferable and Indistinguishable
AAAI 2022
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
AAAI 2022
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks
AAAI 2022
Combating Adversaries with Anti-adversaries
AAAI 2022
DeformRS: Certifying Input Deformations with Randomized Smoothing
AAAI 2022
Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks
AAAI 2022
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks
EMNLP 2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack
EMNLP 2022
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