Andrew Paverd

Principal Researcher, Microsoft

Joined

July 2019

Names

Andrew Paverd

Emails

****@ieee.org (Confirmed)

****@microsoft.com (Confirmed)

Personal Links

Career & Education History

Principal Researcher

Microsoft (microsoft.com)

2018 – Present

Postdoc

Aalto University (aalto.fi)

2015 – 2018

PhD student

University of Oxford (ox.ac.uk)

2011 – 2015

Advisors, Relations & Conflicts

Postdoc Advisor

N. Asokan

2015 – 2018

PhD Advisor

Andrew Martin

2011 – 2015

Expertise

No areas of expertise listed

Publications

LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge
Sahar Abdelnabi, Aideen Fay, Ahmed Salem, Egor Zverev, Kai-Chieh Liao, Chi-Huang Liu, Chun Chih Kuo, Jannis Weigend, Danyael Manlangit, Alex Apostolov, Haris Umair, João Donato, Masayuki Kawakita, Athar Mahboob, Tran Huu Bach, Tsun-Han Chiang, Myeongjin Cho, Hajin Choi, Byeonghyeon Kim, HyeonjinLee et al. (5 additional authors not shown)
- Submitted to ICLR 2026
- Readers: Everyone
Permissive Information-Flow Analysis for Large Language Models
Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Beguelin
- Accepted by TMLR
- Readers: Everyone
LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge
Sahar Abdelnabi, Aideen Fay, Ahmed Salem, Egor Zverev, Kai-Chieh Liao, Chi-Huang Liu, Chun Chih Kuo, Jannis Weigend, Danyael Manlangit, Alex Apostolov, Haris Umair, João Donato, Masayuki Kawakita, Athar Mahboob, Tran Huu Bach, Tsun-Han Chiang, Myeongjin Cho, Hajin Choi, Byeonghyeon Kim, HyeonjinLee et al. (5 additional authors not shown)
- Submitted to NeurIPS 2025 Datasets and Benchmarks Track
- Readers: Everyone
On the Efficacy of Differentially Private Few-shot Image Classification
Marlon Tobaben, Aliaksandra Shysheya, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela
- Accepted by TMLR
- Readers: Everyone
Differentially Private Federated Few-shot Image Classification
Aliaksandra Shysheya, Marlon Tobaben, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela
- Published: 04 Mar 2023, Last Modified: 28 Mar 2023
- ICLR 2023 Workshop on Trustworthy ML Poster
- Readers: Everyone
On the Efficacy of Differentially Private Few-shot Image Classification
Marlon Tobaben, Aliaksandra Shysheya, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela
- Published: 04 Mar 2023, Last Modified: 08 Feb 2026
- ICLR 2023 Workshop on Trustworthy ML Oral
- Readers: Everyone
Bayesian Estimation of Differential Privacy
Santiago Zanella-Beguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
- ICML 2023 Poster
- Readers: Everyone
Pre-hijacked accounts: An Empirical Study of Security Failures in User Account Creation on the Web
Avinash Sudhodanan, Andrew Paverd
- 2022 (modified: 02 Sept 2022)
- CoRR 2022
- Readers: Everyone
Dropbear: Machine Learning Marketplaces made Trustworthy with Byzantine Model Agreement
Alex Shamis, Peter R. Pietzuch, Antoine Delignat-Lavaud, Andrew Paverd, Manuel Costa
- 2022 (modified: 02 Sept 2022)
- CoRR 2022
- Readers: Everyone
CTR: Checkpoint, Transfer, and Restore for Secure Enclaves
Yoshimichi Nakatsuka, Ercan Ozturk, Alex Shamis, Andrew Paverd, Peter R. Pietzuch
- 2022 (modified: 02 Sept 2022)
- CoRR 2022
- Readers: Everyone

View all 61 publications

Co-Authors

View all 123 co-authors