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Matthew Jagielski — most-cited papers & profile · Cybersecurity
← authors
·
overview
Matthew Jagielski
17
papers ·
1383
citations ·
20
h-index
ETH Zurich
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
2018 · 783 citations
Extracting Training Data from Large Language Models
2020 · 275 citations
Poisoning Web-Scale Training Datasets is Practical
2023 · 15 citations
Backdoor Attacks for In-Context Learning with Language Models
2023 · 10 citations
Stealing Part of a Production Language Model
2024 · 7 citations
Students Parrot Their Teachers: Membership Inference on Model Distillation
2023 · 6 citations
Privacy Side Channels in Machine Learning Systems
2023 · 6 citations
Network-Level Adversaries in Federated Learning
2022 · 1 citations
Thought-Transfer: Indirect Targeted Poisoning Attacks on Chain-of-Thought Reasoning Models
2026
LLMs unlock new paths to monetizing exploits
2025
Exploring the limits of strong membership inference attacks on large language models
2025
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning
2022
Top co-authors
Nicholas Carlini
· 7
Milad Nasr
· 6
Florian Tram\`er
· 5
Alina Oprea
· 4
Christopher A. Choquette-Choo
· 4
Katherine Lee
· 4
A. Feder Cooper
· 2
Cristina Nita-Rotaru
· 2
Daniel Paleka
· 2
Edoardo Debenedetti
· 2
Eric Wallace
· 2
Giorgio Severi
· 2
Topics
Adversarial ML
Threat Intelligence
LLM Security
Vulnerability Detection
Privacy
Malware Detection
Network Security