Roy Rinberg

According to our database, Roy Rinberg authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Haiku to Opus in Just 10 bits: LLMs Unlock Massive Compression Gains.

Roy Rinberg, Annabelle Michael Carrell, Simon Henniger, Nicholas Carlini, Keri Warr

CoRR, April, 2026

Easy Data Unlearning Bench.

Roy Rinberg, Pol Puigdemont, Martin Pawelczyk, Volkan Cevher

CoRR, February, 2026

GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon.

Arya Tschand, Chenyu Wang, Zishen Wan, Andrew Cheng, Ioana Cristescu, Kevin He, Howard Huang, Alexander Ingare, Akseli Kangaslahti, Sara Kangaslahti, Theo Lebryk, Hongjin Lin, Jeffrey Jian Ma, Alexandru Meterez, Clara Mohri, Depen Morwani, Sunny Qin, Roy Rinberg, Paula Rodriguez Diaz, Alyssa Mia Taliotis, Pernille Undrum Fathi, Rosie Zhao, Todd Zhou, Vijay Janapa Reddi

CoRR, February, 2026

2025

RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories.

Roy Rinberg, Usha Bhalla, Igor Shilov, Flávio P. Calmon, Rohit Gandikota

CoRR, December, 2025

DiFR: Inference Verification Despite Nondeterminism.

Adam Karvonen, Daniel Reuter, Roy Rinberg, Luke Marks, Adrià Garriga-Alonso, Keri Warr

CoRR, November, 2025

Verifying LLM Inference to Prevent Model Weight Exfiltration.

Roy Rinberg, Adam Karvonen, Alex Hoover, Daniel Reuter, Keri Warr

CoRR, November, 2025

Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning.

Roy Rinberg, Ilia Shumailov, Vikrant Singhal, Rachel Cummings, Nicolas Papernot

CoRR, June, 2025

Machine Unlearning via Simulated Oracle Matching.

Kristian Georgiev, Roy Rinberg, Sung Min Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Attribute-to-Delete: Machine Unlearning via Datamodel Matching.

Kristian Georgiev, Roy Rinberg, Sung Min Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel

CoRR, 2024

2023

Individualized PATE: Differentially Private Machine Learning with Individual Privacy Guarantees.

Franziska Boenisch, Christopher Mühl, Roy Rinberg, Jannis Ihrig, Adam Dziedzic

Proc. Priv. Enhancing Technol., January, 2023

Have it your way: Individualized Privacy Assignment for DP-SGD.

Franziska Boenisch, Christopher Mühl, Adam Dziedzic, Roy Rinberg, Nicolas Papernot

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Privacy when Everyone is Watching: An SOK on Anonymity on the Blockchain.

Roy Rinberg, Nilaksh Agarwal

IACR Cryptol. ePrint Arch., 2022

2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto Martinez, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang

CoRR, 2021

Creolizing the Web.

Abhinav Tamaskar, Roy Rinberg, Sunandan Chakraborty, Bud Mishra

CoRR, 2021