Aditi Partap
—
I am a fourth year CS Ph.D. student at Stanford University, where I work on cryptography research. I am advised by Dan Boneh. My current focus is on accountability in threshold cryptography and leader election protocols.
Prior to joining Stanford, I completed my Masters in May 2021 from University of Illinois at Urbana Champaign. I received my bachelors degree in Computer Science from IIT Delhi in 2018.
Apart from work, I enjoy reading, travelling and social dancing.
[CV] [Google Scholar]
Contact
Email: aditi712 at stanford.edu
Publications
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Traceable Secret Sharing: Strong Security and Efficient Constructions
Dan Boneh, Aditi Partap, Lior Rotem.
Accepted at Crypto’24 -
Accountability for Misbehavior in Threshold Decryption via Threshold Traitor Tracing
Dan Boneh, Aditi Partap, Lior Rotem.
Accepted at Crypto’24 -
Post-Quantum Single Secret Leader Election (SSLE) From Publicly Re-randomizable Commitments
Dan Boneh, Aditi Partap, Lior Rotem.
Accepted at Advances in Financial Technologies (AFT) 2023 -
Proactive Refresh for Accountable Threshold Signatures
Dan Boneh, Aditi Partap, Lior Rotem.
Accepted at Financial Cryptography (FC) 2024 -
Accountable Multi-Signatures with Constant Size Public Keys
Dan Boneh, Aditi Partap, Brent Waters. -
Memory Tagging: A Memory Efficient Design
Aditi Partap, Dan Boneh.
Talks
- Traceable Secret Sharing: Strong Security and Efficient Constructions [Slides]
- at Bay Area Crypto Day: April 2024
- Accountability for Misbehavior in Threshold Decryption via Threshold Traitor Tracing [Slides]
- at International Cryptography Conference (Crypto): August 2024 [Video]
- at New York University Crypto Reading Group: June 2024
- at Carnegie Mellon University CyLab Crypto Seminar: April 2024 [Video]
- at NTT CIS Seminar: March 2024
- at University of California, Berkeley Security Seminar: November 2023
- at University of Maryland Crypto Reading Group: October 2023
- Post-Quantum Single Secret Leader Election (SSLE) From Publicly Re-randomizable Commitments [Slides]
- at Advances in Financial Technologies (AFT): October 2023 [Video]
- Proactive Refresh for Accountable Threshold Signatures [Slides]
Teaching & Service
- Instructor for CS355: Advanced Cryptography, Spring 2024. Co-taught with Wilson Nguyen and Trisha Datta [site].
- External Reviewer for Crypto, AsiaCrypt and Theory of Cryptography (TCC) 2024 conferences.
- External Reviewer for Crypto 2023.
- Co-organizer of Graduate CS Women’s Lunch at Stanford University.
- Designed a puzzle for ZK-Hacks III, based on the Cheon attack, that can break the security of zk-SNARKs. Used arkworks to develop the puzzle.
- Co-chaired the Programmable networks session at HotNets’20.
- Undergraduate Teaching Assistant for Programming Languages course during Spring, 2018 and Data Structures & Algorithms course during Fall, 2017.
Past Research Experience
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Optimizing video analytics with declarative model relationships
Francisco Romero, Johann Hauswald, Aditi Partap, Daniel Kang, Matei Zaharia, Christos Kozyrakis In Proceedings of the VLDB Endowment, 2022 -
DeepG2P: Fusing Multi-Modal Data to Improve Crop Production
Swati Sharma, Aditi Partap, Maria Angels de Luis Balaguer, Sara Malvar, Ranveer Chandra.
In submission at AISTATS’23 -
Fast and efficient lookups via data-driven FIB designs
Sachin Ashok, Aditi Partap, Ammar Tahir.
In Proceedings of the ACM SIGCOMM Workshop on Future of Internet Routing \& Addressing (FIRA), 2022 -
On-Device CPU Scheduling for Sense-React Systems
Aditi Partap,Samuel Grayson, Muhammad Huzaifa, Sarita V. Adve, Brighten Godfrey, Saurabh Gupta, Kris Hauser, Radhika Mittal.
In International Conference on Intelligent Robots and Systems (IROS), 2022 -
Answering POI-recommendation Questions using Tourism Reviews
Danish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam.
In Proceedings of the 30th ACM International Conference on Information \& Knowledge Management (CIKM), 2021
Industry Experience
- Software Engineer at PowerBI @Microsoft, December 2018 - August 2019
- Software Engineering Intern @Microsoft, Summer 2017