Adversarial Learning

TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions

Authors: Wang YuHang, Junkang Guo, Aolei Liu, Kaihao Wang, Zaitong Wu, Zhenyu Liu, Wenfei Yin, Jian Liu | Published: 2025-03-02 | Updated: 2025-03-21
Robustness
Adversarial Learning
Adversarial Training

SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage

Authors: Xiaoning Dong, Wenbo Hu, Wei Xu, Tianxing He | Published: 2024-12-19 | Updated: 2025-03-21
Prompt Injection
Large Language Model
Adversarial Learning

Protecting Confidentiality, Privacy and Integrity in Collaborative Learning

Authors: Dong Chen, Alice Dethise, Istemi Ekin Akkus, Ivica Rimac, Klaus Satzke, Antti Koskela, Marco Canini, Wei Wang, Ruichuan Chen | Published: 2024-12-11 | Updated: 2025-04-17
Privacy protection framework
Differential Privacy
Adversarial Learning

On the Lack of Robustness of Binary Function Similarity Systems

Authors: Gianluca Capozzi, Tong Tang, Jie Wan, Ziqi Yang, Daniele Cono D'Elia, Giuseppe Antonio Di Luna, Lorenzo Cavallaro, Leonardo Querzoni | Published: 2024-12-05 | Updated: 2025-05-22
バイナリ分析
Adversarial Learning
Adversarial Learning

Robust LLM safeguarding via refusal feature adversarial training

Authors: Lei Yu, Virginie Do, Karen Hambardzumyan, Nicola Cancedda | Published: 2024-09-30 | Updated: 2025-03-20
Prompt Injection
Model Robustness
Adversarial Learning

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates

Authors: Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli | Published: 2024-02-27 | Updated: 2025-05-29
Model Design
Robustness Evaluation
Adversarial Learning

LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

Authors: Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Mu-Nan Ning, Yu-Yang Liu, Li Yuan | Published: 2023-10-02 | Updated: 2024-08-04
Hallucination
Vulnerability of Adversarial Examples
Adversarial Learning

Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems

Authors: Ibrahim Aliyu, Selinde van Engelenburg, Muhammed Bashir Muazu, Jinsul Kim, Chang Gyoon Lim | Published: 2022-07-11
Poisoning
Attack Type
Adversarial Learning

Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples

Authors: Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov | Published: 2022-07-04
Network Slicing
Risk Assessment Method
Adversarial Learning

IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound

Authors: Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth | Published: 2022-06-29 | Updated: 2023-05-31
Algorithm Design
Efficient Proof System
Adversarial Learning