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Methodology
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Machine Learning
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Adversarial Learning
4854 directly classified 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
OSLO: One-Shot Label-Only Membership Inference Attacks
NIPS 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
IJCAI 2024
Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models
ACL 2024
Fooling the Textual Fooler via Randomizing Latent Representations
ACL 2024
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning
NIPS 2024
Optimal Zero-Shot Detector for Multi-Armed Attacks
AISTATS 2024
Diffusion-Reward Adversarial Imitation Learning
NIPS 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
AISTATS 2024
Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning
ACL 2024
Can Machine Unlearning Reduce Social Bias in Language Models?
EMNLP 2024
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails
ACL 2024
Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors
ACL 2024
UOR: Universal Backdoor Attacks on Pre-trained Language Models
ACL 2024
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models
ACL 2024
Boosting the Transferability of Adversarial Examples with Gradient-Aligned Ensemble Attack for Speaker Recognition
INTERSPEECH 2024
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
NIPS 2024
Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning
AISTATS 2024
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models
ACL 2024
GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
NIPS 2024
Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
ACL 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
NIPS 2024
Faster Repeated Evasion Attacks in Tree Ensembles
NIPS 2024
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
NIPS 2024
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
AISTATS 2024
Unveiling the Achilles’ Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models
ACL 2024
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