Generative Adversarial Networks Unlearning
Authors: Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou | Published: 2023-08-19
生成的敵対ネットワーク
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
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
Combining Generators of Adversarial Malware Examples to Increase Evasion Rate
Authors: Matouš Kozák, Martin Jureček | Published: 2023-04-14
Isometric 3D Adversarial Examples in the Physical World
Authors: Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao | Published: 2022-10-27
Differentially Private Diffusion Models
Authors: Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis | Published: 2022-10-18 | Updated: 2023-12-31
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
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
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs
Authors: Chang Sun, Johan van Soest, Michel Dumontier | Published: 2022-06-28
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