1.9k citations · 2.4k across the 10 of their papers we have counts for
10 papers
Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro +3
We propose a novel federated learning method for distributively training neural network models, where the server orchestrates cooperation between a subset of randomly chosen device…
Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
Yue Zhao, Chenzhuang Du, Hang Zhao +1
In vision-based reinforcement learning (RL) tasks, it is prevalent to assign auxiliary tasks with a surrogate self-supervised loss so as to obtain more semantic representations and…
HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks
Peizhuo Lv, Pan Li, Shengzhi Zhang +4
Due to the wide use of highly-valuable and large-scale deep neural networks (DNNs), it becomes crucial to protect the intellectual property of DNNs so that the ownership of dispute…
SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula
Colin Wan, Zheng Li, Alicia Guo +1
Synthetic population generation is the process of combining multiple socioeconomic and demographic datasets from different sources and/or granularity levels, and downscaling them t…
Seeing isn't Believing: Practical Adversarial Attack Against Object Detectors
Yue Zhao, Hong Zhu, Ruigang Liang +3
In this paper, we presented systematic solutions to build robust and practical AEs against real world object detectors. Particularly, for Hiding Attack (HA), we proposed the featur…
DLFuzz: Differential Fuzzing Testing of Deep Learning Systems
Jianmin Guo, Yu Jiang, Yue Zhao +2
Deep learning (DL) systems are increasingly applied to safety-critical domains such as autonomous driving cars. It is of significant importance to ensure the reliability and robust…
Federated Learning with Non-IID Data
Yue Zhao, Meng Li, Liangzhen Lai +3
Federated learning enables resource-constrained edge compute devices, such as mobile phones and IoT devices, to learn a shared model for prediction, while keeping the training data…
CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition
Xuejing Yuan, Yuxuan Chen, Yue Zhao +7
The popularity of ASR (automatic speech recognition) systems, like Google Voice, Cortana, brings in security concerns, as demonstrated by recent attacks. The impacts of such threat…
A Learning-to-Infer Method for Real-Time Power Grid Multi-Line Outage Identification
Yue Zhao, Jianshu Chen, H. Vincent Poor
Identifying a potentially large number of simultaneous line outages in power transmission networks in real time is a computationally hard problem. This is because the number of hyp…
Capacity Factors of a Point-to-point Network
Yuan Li, Yue Zhao, Haibin Kan
In this paper, we investigate some properties on capacity factors, which were proposed to investigate the link failure problem from network coding. A capacity factor (CF) of a netw…