Huili Chen

Researcher, Amazon

Joined

September 2018

Names

Huili Chen (Preferred)

Emails

****@ucsd.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Amazon (amazon.com)

2022 – Present

PhD student

University of California, San Diego (ucsd.edu)

2016 – 2022

Undergrad student

Huazhong University of Science and Technology (hust.edu.cn)

2012 – 2016

Advisors, Relations & Conflicts

Coworker

Bita Darvish Rouhani

2017 – Present

PhD Advisor

Farinaz Koushanfar

2016 – Present

Expertise

Security and Privacy of Deep Learning

2017 – 2018

Hardware Security

2016 – 2017

Publications

Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning
Alexandra Dmitrienko, Christoph Sendner, Huili Chen, HOSSEIN FEREIDOONI, Lukas Petzi, Jan König, Jasper Stang, Ahmad-Reza Sadeghi, Farinaz Koushanfar
- Network and Distributed System Security Symposium 2023
- Readers: Everyone
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection
Huili Chen, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar
- Mar 2023 (modified: 17 Apr 2023)
- ACM Trans. Embed. Comput. Syst. 2023
- Readers: Everyone
Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning
Christoph Sendner, Huili Chen, Hossein Fereidooni, Lukas Petzi, Jan König, Jasper Stang, Alexandra Dmitrienko, Ahmad-Reza Sadeghi, Farinaz Koushanfar
- 2023 (modified: 17 Apr 2023)
- NDSS 2023
- Readers: Everyone
Tutorial: Toward Robust Deep Learning against Poisoning Attacks
Huili Chen, Farinaz Koushanfar
- Published: 01 Jan 2023, Last Modified: 01 Oct 2023
- ACM Trans. Embed. Comput. Syst. 2023
- Readers: Everyone
FL-Talk: Covert Communication in Federated Learning via Spectral Steganography
Huili Chen, Farinaz Koushanfar
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Self-Aware Personalized Federated Learning
Huili Chen, Jie Ding, Eric William Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
ActPerFL: Active Personalized Federated Learning
Huili Chen, Jie Ding, Eric William Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang
- Published: 27 Mar 2022, Last Modified: 05 May 2023
- FL4NLP@ACL2022
- Readers: Everyone
FLAME: Taming Backdoors in Federated Learning
Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider
- 2022 (modified: 06 Feb 2023)
- USENIX Security Symposium 2022
- Readers: Everyone
PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications
Diego Garcia-soto, Huili Chen, Farinaz Koushanfar
- 2022 (modified: 17 Apr 2023)
- CoRR 2022
- Readers: Everyone
An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks
Xinqiao Zhang, Huili Chen, Ke Huang, Farinaz Koushanfar
- 2022 (modified: 17 Apr 2023)
- CoRR 2022
- Readers: Everyone

View all 41 publications

Co-Authors

View all 71 co-authors