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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
Batchnorm Allows Unsupervised Radial Attacks
NIPS 2023
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
NIPS 2023
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
NIPS 2023
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples
NIPS 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay
NIPS 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
NIPS 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
NIPS 2023
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning
NIPS 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
NIPS 2023
BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking
NIPS 2023
Exploring Geometry of Blind Spots in Vision models
NIPS 2023
Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models
NIPS 2023
Hierarchical Randomized Smoothing
NIPS 2023
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text
NIPS 2023
Content-based Unrestricted Adversarial Attack
NIPS 2023
Enhancing Adversarial Robustness via Score-Based Optimization
NIPS 2023
Analysis of Master Vein Attacks on Finger Vein Recognition Systems
WACV 2023
Word Level Robustness Enhancement: Fight Perturbation with Perturbation
AAAI 2022
MINIMAL: Mining Models for Universal Adversarial Triggers
AAAI 2022
Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search
AAAI 2022
PARSE: An Efficient Search Method for Black-box Adversarial Text Attacks
COLING 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks
COLING 2022
Sentence-aware Adversarial Meta-Learning for Few-Shot Text Classification
COLING 2022
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model
NAACL 2022
Don’t sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks
NAACL 2022
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