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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
Adversarial Learning for Multi-Lingual Entity Linking
ACL 2024
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models
ACL 2024
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings
EMNLP 2024
FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation
EMNLP 2024
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models
ACL 2024
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment
EMNLP 2024
Boosting the Transferability of Adversarial Examples with Gradient-Aligned Ensemble Attack for Speaker Recognition
INTERSPEECH 2024
Ranking Manipulation for Conversational Search Engines
EMNLP 2024
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
NIPS 2024
GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
NIPS 2024
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails
ACL 2024
UOR: Universal Backdoor Attacks on Pre-trained Language Models
ACL 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
NIPS 2024
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models
AISTATS 2024
Active Reinforcement Learning for Robust Building Control
AAAI 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
AAAI 2024
Conditional Backdoor Attack via JPEG Compression
AAAI 2024
Towards the Robustness of Differentially Private Federated Learning
AAAI 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
NIPS 2024
Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
ACL 2024
Robustness Verification of Multi-Class Tree Ensembles
AAAI 2024
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
AAAI 2024
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization
AAAI 2024
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
NIPS 2024
Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion
EACL 2024
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