no code implementations • 9 Aug 2023 • Weijie Shao, Yuyang Gao, Fu Song, Sen Chen, Lingling Fan, JingZhu He
Federated learning (FL) is a distributed machine learning (ML) paradigm, allowing multiple clients to collaboratively train shared machine learning (ML) models without exposing clients' data privacy.
1 code implementation • 7 Jun 2022 • Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, Feng Wang, Jiashui Wang
According to the characteristic of SRSs, we present 22 diverse transformations and thoroughly evaluate them using 7 recent promising adversarial attacks (4 white-box and 3 black-box) on speaker recognition.
no code implementations • 7 Jun 2022 • Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, Yang Liu
Recent work has illuminated the vulnerability of speaker recognition systems (SRSs) against adversarial attacks, raising significant security concerns in deploying SRSs.
no code implementations • 3 Nov 2021 • Li Bao, Lingling Fan, Zhixin Miao
The three testbeds, with their detailed circuit parameters and control parameters presented, can be used as reference testbeds for EV grid integration research.
1 code implementation • 4 Sep 2021 • Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, Yang Liu
To bridge this gap, we present SEC4SR, the first platform enabling researchers to systematically and comprehensively evaluate adversarial attacks and defenses in SR. SEC4SR incorporates 4 white-box and 2 black-box attacks, 24 defenses including our novel feature-level transformations.
1 code implementation • 24 Apr 2020 • Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu
In this paper, to fill this gap, we propose a novel and interpretable ML-based approach (named XMal) to classify malware with high accuracy and explain the classification result meanwhile.
no code implementations • 15 Apr 2020 • Yusi Lei, Sen Chen, Lingling Fan, Fu Song, Yang Liu
To launch attacks in the white- and grey-box scenarios, we also propose a sample-based collision attack to gain the knowledge of the target classifier.
no code implementations • 20 Dec 2019 • JingKai Siow, Cuiyun Gao, Lingling Fan, Sen Chen, Yang Liu
The hinge of accurate code review suggestion is to learn good representations for both code changes and reviews.
1 code implementation • 3 Nov 2019 • Guangke Chen, Sen Chen, Lingling Fan, Xiaoning Du, Zhe Zhao, Fu Song, Yang Liu
In this paper, we conduct the first comprehensive and systematic study of the adversarial attacks on SR systems (SRSs) to understand their security weakness in the practical blackbox setting.