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Peter Anthony Beerel
Full Professor, Ming Hsieh Electrical and Computer Engineering Department, University of Southern California
Joined
December 2017
Names
Peter Anthony Beerel
,
Peter A. Beerel
Emails
****@usc.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
LinkedIn
ACL Anthology
Career & Education History
Full Professor
Ming Hsieh Electrical and Computer Engineering Department,
University of Southern California
(usc.edu)
2017
–
Present
Associate Professor
Ming Hsieh Electrical and Computer Engineering Department,
University of Southern California
(usc.edu)
2000
–
2017
Assistant Professor
Ming Hsieh Electrical and Computer Engineering Department,
University of Southern California
(usc.edu)
1994
–
2000
PhD student
Electrical Engineering,
Stanford University
(stanford.edu)
1989
–
1994
Advisors, Relations & Conflicts
PhD Advisee
Chenghao Li
2024
–
Present
PhD Advisee
Sreetama Sarkar
2022
–
Present
PhD Advisee
Zeyu Liu
2022
–
Present
PhD Advisee
Souvik Kundu
2020
–
2024
PhD Advisee
Dake Chen
2020
–
2024
PhD Advisee
Gourav Datta
2020
–
2024
PhD Advisee
Yuke Zhang
2020
–
2024
Coauthor
Nitin Chandrachoodan
2022
–
2023
PhD Advisee
Sourya Dey
2020
–
2023
Expertise
LLMs
2024
–
2025
Model Robustness
2024
–
2025
Model Privacy and Security
2020
–
2025
Spiking Neural Networks
2019
–
2025
Deep Learning
2017
–
2021
Model Compression
2017
–
2021
Model Search
2017
–
2021
Publications
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference
Yuke Zhang
,
Dake Chen
,
Souvik Kundu
,
Haomei Liu
,
Ruiheng Peng
,
Peter Anthony Beerel
10 Apr 2023 (modified: 10 Apr 2023)
OpenReview Archive Direct Upload
Readers:
Everyone
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training With Crafted Input Noise
Souvik Kundu
,
Massoud Pedram
,
Peter Anthony Beerel
26 Jan 2023
OpenReview Archive Direct Upload
Readers:
Everyone
LEARNING TO LINEARIZE DEEP NEURAL NETWORKS FOR SECURE AND EFFICIENT PRIVATE INFERENCE
Souvik Kundu
,
Shunlin Lu
,
Yuke Zhang
,
Jacqueline Tiffany Liu
,
Peter Anthony Beerel
26 Jan 2023
OpenReview Archive Direct Upload
Readers:
Everyone
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness
Souvik Kundu
,
Sairam Sundaresan
,
Massoud Pedram
,
Peter A. Beerel
2023 (modified: 16 Apr 2023)
WACV 2023
Readers:
Everyone
Enabling ISPless Low-Power Computer Vision
Gourav Datta
,
Zeyu Liu
,
Zihan Yin
,
Linyu Sun
,
Akhilesh R. Jaiswal
,
Peter A. Beerel
2023 (modified: 16 Apr 2023)
WACV 2023
Readers:
Everyone
Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs
Souvik Kundu
,
Sairam Sundaresan
,
Sharath Nittur Sridhar
,
Shunlin Lu
,
Han Tang
,
Peter A. Beerel
2023 (modified: 16 Apr 2023)
CoRR 2023
Readers:
Everyone
Self-Attentive Pooling for Efficient Deep Learning
Fang Chen
,
Gourav Datta
,
Souvik Kundu
,
Peter A. Beerel
2023 (modified: 16 Apr 2023)
WACV 2023
Readers:
Everyone
ViTA: A Vision Transformer Inference Accelerator for Edge Applications
Shashank Nag
,
Gourav Datta
,
Souvik Kundu
,
Nitin Chandrachoodan
,
Peter A. Beerel
2023 (modified: 16 Apr 2023)
CoRR 2023
Readers:
Everyone
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
Souvik Kundu
,
Shunlin Lu
,
Yuke Zhang
,
Jacqueline Liu
,
Peter A. Beerel
2023 (modified: 16 Apr 2023)
CoRR 2023
Readers:
Everyone
HOYER REGULARIZER IS ALL YOU NEED FOR EXTREMELY SPARSE SPIKING NEURAL NETWORKS
Gourav Datta
,
Zeyu Liu
,
Peter Anthony Beerel
Published: 01 Feb 2023, Last Modified: 13 Feb 2023
Submitted to ICLR 2023
Readers:
Everyone
View all 208 publications
Co-Authors
Aiguo Xie
Ajay Singhvi
Ajey Jacob
Ajey P. Jacob
Akhilesh R. Jaiswal
Alain Gravel
Alex J. Malozemoff
Alex Kondratyev
Alex Yakovlev
Andrew G. Schmidt
Andrew Lines
Andrew Schmidt
Arash Fayyazi
Arash Saifhashemi
Arnab Sanyal
Ayoob E. Dooply
Ben Hamlin
Benmao Cheng
Bill Ye
Bo Zhang
Boris Agapiev
Brian Huffman
Charles Dike
Cheng-Ta Hsieh
Chris C. N. Chu
View all 192 co-authors