Generative Adversarial Network

Generative Adversarial Networks Unlearning

Authors: Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou | Published: 2023-08-19
Class Imbalance
Generative Adversarial Network
Overfitting and Memorization

Stochastic Parrots Looking for Stochastic Parrots: LLMs are Easy to Fine-Tune and Hard to Detect with other LLMs

Authors: Da Silva Gameiro Henrique, Andrei Kucharavy, Rachid Guerraoui | Published: 2023-04-18
LLM Security
Text Generation Method
Generative Adversarial Network

Masked Language Model Based Textual Adversarial Example Detection

Authors: Xiaomei Zhang, Zhaoxi Zhang, Qi Zhong, Xufei Zheng, Yanjun Zhang, Shengshan Hu, Leo Yu Zhang | Published: 2023-04-18 | Updated: 2024-01-28
DNN IP Protection Method
Text Generation Method
Generative Adversarial Network

Combining Generators of Adversarial Malware Examples to Increase Evasion Rate

Authors: Matouš Kozák, Martin Jureček | Published: 2023-04-14
Program Verification
Malware Detection Method
Generative Adversarial Network

Isometric 3D Adversarial Examples in the Physical World

Authors: Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao | Published: 2022-10-27
Adversarial Training
Optimization Methods
Generative Adversarial Network

Differentially Private Diffusion Models

Authors: Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis | Published: 2022-10-18 | Updated: 2023-12-31
Privacy Assessment
Performance Evaluation
Generative Adversarial Network

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Authors: Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang | Published: 2022-10-13 | Updated: 2023-01-09
Dataset Generation
Performance Evaluation
Generative Adversarial Network

Federated Learning for Tabular Data: Exploring Potential Risk to Privacy

Authors: Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel | Published: 2022-10-13
Privacy Risk Management
Poisoning
Generative Adversarial Network

Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs

Authors: Chang Sun, Johan van Soest, Michel Dumontier | Published: 2022-06-28
Attribute Disclosure Risk
Information-Theoretic Privacy
Generative Adversarial Network

Exploiting Multiple EEG Data Domains with Adversarial Learning

Authors: David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl | Published: 2022-04-16
Dataset evaluation
Machine Learning Method
Generative Adversarial Network