19 citations · 49 across the 11 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 4 cited
CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization
Yang He, Hui-Po Wang, Maximilian Zenk +1
Federated learning is a promising framework to mitigate data privacy and computation concerns. However, the communication cost between the server and clients has become the major b…
cs.CV2020★ 7 cited
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
Hui-Po Wang, Ning Yu, Mario Fritz
While Generative Adversarial Networks (GANs) show increasing performance and the level of realism is becoming indistinguishable from natural images, this also comes with high deman…
cs.CV2020★ 2 cited
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation
Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz
Personal photos of individuals when shared online, apart from exhibiting a myriad of memorable details, also reveals a wide range of private information and potentially entails pri…