Aditi Partap

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I am a fifth 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]

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Contact

Email: aditi712 at stanford.edu

[Twitter] [LinkedIn] [Github]

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Publications

• Catching Many Traitors in Threshold Traitor Tracing: Lower Bounds and Constructions
  Dan Boneh, Aditi Partap, Mark Zhandry.
  Submitted to AsiaCrypt’26

• Optimal Threshold Traitor Tracing
  Sourav Das, Pratish Datta, Aditi Partap, Swagata Sasmal, Mark Zhandry.
  Accepted at EuroCrypt’26

• Traceable Secret Sharing Revisited
  Vipul Goyal, Abhishek Jain, Aditi Partap.
  Accepted at EuroCrypt’26

• Data Availability Sampling with Efficient Repair: Definitions and New Constructions
  Dan Boneh, Joachim Neu, Valeria Nikolaenko, Aditi Partap.
  Submitted to CCS’26

• Breaking Omertà: On Threshold Cryptography, Smart Collusion, and Whistleblowing
  Mahimna Kelkar, Aadityan Ganesh, Aditi Partap, Joseph Bonneau, S. Matthew Weinberg.
  Accepted at CCS’25

• Traceable Verifiable Random Functions
  Dan Boneh, Aditi Partap, Lior Rotem.
  Accepted at Crypto’25

• Accountable Multi-Signatures with Constant Size Public Keys
  Dan Boneh, Aditi Partap, Brent Waters.
  Accepted at Public Key Cryptography (PKC) 2025

• 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

• Proactive Refresh for Accountable Threshold Signatures
  Dan Boneh, Aditi Partap, Lior Rotem.
  Accepted at Financial Cryptography (FC) 2024

• 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

• Memory Tagging: A Memory Efficient Design
  Aditi Partap, Dan Boneh.
  

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Talks

• Traceable Secret Sharing Revisited
  • at IACR EuroCrypt: May 2026
• Optimal Threshold Traitor Tracing
  • at IACR EuroCrypt: May 2026
• Data Availability Sampling with Repair [Slides]
  • at Cryptographic Tools for Blockchains Workshop (CTB): May 2026
  • at Yale Applied Cryptography Seminar: May 2026
  • at Carnegie Mellon University CyLab Crypto Seminar: May 2026
  • at the MIT Decentralized Coding Workshop: March 2026
  • at University of Michigan, Ann Arbor Crypto Reading Group: November 2025
  • at Science of Blockchain Conference (SBC): August 2025
• Traceable Verifiable Random Functions [Slides]
  • at IACR International Cryptography Conference (Crypto): August 2025
  • at CIFRA Institute Cryptography Seminar (at Bocconi University): May 2025
  • at EPFL Cryptography Seminar: May 2025
  • at Cryptographic Tools for Blockchains Workshop (CTB): May 2025
  • at Bay Area Crypto Day: April 2025
  • at University of California, San Diego Theory Seminar: April 2025
  • at University of Washington, Seattle Crypto Reading Group: April 2025
• Accountable Multi-Signatures with Constant Size Public Keys
  • at Public Key Cryptography Conference (PKC): May 2025
• Traceable Secret Sharing: Strong Security and Efficient Constructions [Slides]
  • at Cornell University Theory Seminar: May 2026
  • at Northeastern University Cryptography Seminar: March 2026
  • at Boston University Cryptography Seminar: March 2026
  • at Indian Institute of Technology, Delhi Theory Seminar: January 2026
  • at Conference on Information-Theoretic Cryptography (ITC): August 2025
  • at University of California, Los Angeles Crypto Reading group: April 2025
  • at Bay Area Crypto Day: April 2024
• Accountability for Misbehavior in Threshold Decryption via Threshold Traitor Tracing [Slides]
  • at IACR 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]
  • at Financial Cryptography (FC): March 2024 [Video]
  • at Microsoft Research Redmond Cryptography and Privacy Colloquium: June 2023
  • at Brown University Crypto Reading Group: May 2023
  • at Stanford Security Workshop: April 2023 [Video]
  • at Bay Area Crypto Day: April 2023

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Work Experience

• Research Intern at the NTT CIS Lab, Summer 2025
• Research Intern at the Andreessen Horowitz Capital Management (a16z) Crypto Group, Summer 2024
• Research Intern at the RFI group @Microsoft Research, Summer 2021

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Teaching & Service

• Instructor for CS355: Advanced Cryptography, Spring 2024. Co-taught with Wilson Nguyen and Trisha Datta [site].
• External reviewer for EuroCrypt 2025-26 and Crypto 2023-25, AsiaCrypt and Theory of Cryptography (TCC) 2024-25 conferences.
• 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.

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Past Research Experience

• 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

• 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

• DeepG2P: Fusing Multi-Modal Data to Improve Crop Production
  Swati Sharma, Aditi Partap, Maria Angels de Luis Balaguer, Sara Malvar, Ranveer Chandra.