Matthew Jagielski
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
12
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Differentially Private Prototypes for Imbalanced Transfer Learning. | Dariush Wahdany, Matthew Jagielski, Adam Dziedzic, Franziska Boenisch |
| 2025 | ACL | Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training. | Jaydeep Borkar, Matthew Jagielski, Katherine Lee, Niloofar Mireshghallah, David A. Smith, Christopher A. Choquette-Choo |
| 2025 | CCS | Cascading Adversarial Bias from Injection to Distillation in Language Models. | Harsh Chaudhari, Jamie Hayes, Matthew Jagielski, Ilia Shumailov, Milad Nasr, Alina Oprea |
| 2025 | CCS | AISec '25: 18th ACM Workshop on Artificial Intelligence and Security. | Maura Pintor, Matthew Jagielski, Ruoxi Jia |
| 2025 | ICLR | The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD. | Milad Nasr, Thomas Steinke, Borja Balle, Christopher A. Choquette-Choo, Arun Ganesh, Matthew Jagielski, Jamie Hayes, Abhradeep Guha Thakurta, Adam Smith, Andreas Terzis |
| 2025 | ICLR | Scalable Extraction of Training Data from Aligned, Production Language Models. | Milad Nasr, Javier Rando, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A. Feder Cooper, Daphne Ippolito, Christopher A. Choquette-Choo, Florian Tramr, Katherine Lee |
| 2025 | ICLR | On Evaluating the Durability of Safeguards for Open-Weight LLMs. | Xiangyu Qi, Boyi Wei, Nicholas Carlini, Yangsibo Huang, Tinghao Xie, Luxi He, Matthew Jagielski, Milad Nasr, Prateek Mittal, Peter Henderson |
| 2025 | ICML | Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards. | Yangsibo Huang, Milad Nasr, Anastasios Nikolas Angelopoulos, Nicholas Carlini, Wei-Lin Chiang, Christopher A. Choquette-Choo, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Ken Liu, Ion Stoica, Florian Tramr, Chiyuan Zhang |
| 2025 | ICML | Language Models May Verbatim Complete Text They Were Not Explicitly Trained On. | Ken Liu, Christopher A. Choquette-Choo, Matthew Jagielski, Peter Kairouz, Sanmi Koyejo, Percy Liang, Nicolas Papernot |
| 2024 | CCS | AISec '24: 17th ACM Workshop on Artificial Intelligence and Security. | Maura Pintor, Matthew Jagielski, Xinyun Chen |
| 2024 | ICASSP | Noise Masking Attacks and Defenses for Pretrained Speech Models. | Matthew Jagielski, Om Thakkar, Lun Wang |
| 2024 | ICML | Stealing part of a production language model. | Nicholas Carlini, Daniel Paleka, Krishnamurthy Dj Dvijotham, Thomas Steinke, Jonathan Hayase, A. Feder Cooper, Katherine Lee, Matthew Jagielski, Milad Nasr, Arthur Conmy, Eric Wallace, David Rolnick, Florian Tramr |
| 2024 | ICML | Auditing Private Prediction. | Karan Chadha, Matthew Jagielski, Nicolas Papernot, Christopher A. Choquette-Choo, Milad Nasr |
| 2024 | NAACL | Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models. | Aldo G. Carranza, Rezsa Farahani, Natalia Ponomareva, Alexey Kurakin, Matthew Jagielski, Milad Nasr |
| 2024 | SP | Poisoning Web-Scale Training Datasets is Practical. | Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum S. Anderson, Andreas Terzis, Kurt Thomas, Florian Tramr |
| 2023 | ICLR | Quantifying Memorization Across Neural Language Models. | Nicholas Carlini, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Florian Tramr, Chiyuan Zhang |
| 2023 | ICLR | Measuring Forgetting of Memorized Training Examples. | Matthew Jagielski, Om Thakkar, Florian Tramr, Daphne Ippolito, Katherine Lee, Nicholas Carlini, Eric Wallace, Shuang Song, Abhradeep Guha Thakurta, Nicolas Papernot, Chiyuan Zhang |
| 2023 | INLG | Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy. | Daphne Ippolito, Florian Tramr, Milad Nasr, Chiyuan Zhang, Matthew Jagielski, Katherine Lee, Christopher A. Choquette-Choo, Nicholas Carlini |
| 2023 | SP | SNAP: Efficient Extraction of Private Properties with Poisoning. | Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramr, Jonathan R. Ullman |
| 2022 | CCS | Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. | Florian Tramr, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini |
| 2021 | CCS | Subpopulation Data Poisoning Attacks. | Matthew Jagielski, Giorgio Severi, Niklas Pousette Harger, Alina Oprea |
| 2020 | CRYPTO | Cryptanalytic Extraction of Neural Network Models. | Nicholas Carlini, Matthew Jagielski, Ilya Mironov |
| 2019 | ESORICS | Secure Communication Channel Establishment: TLS 1.3 (over TCP Fast Open) vs. QUIC. | Shan Chen, Samuel Jero, Matthew Jagielski, Alexandra Boldyreva, Cristina Nita-Rotaru |
| 2019 | ICML | Differentially Private Fair Learning. | Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman |
| 2018 | ICCAD | Network and system level security in connected vehicle applications. | Hengyi Liang, Matthew Jagielski, Bowen Zheng, Chung-Wei Lin, Eunsuk Kang, Shinichi Shiraishi, Cristina Nita-Rotaru, Qi Zhu |
| 2018 | SP | Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. | Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li |