CS Ph.D. Student @Stanford Applied Cryptography Group | M.S. from @Illinois_Alma | Undergrad from @iitdelhi
Stanford, CA
Joined November 2020
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Aditi Partap retweeted
New ethresearch blogpost with @AditiPartap97. We note that the techniques for traitor tracing presented in BPR25 can be applied to Paillier encryption, and thus to accountability for encrypted mempools.
ethresear.ch/t/accountabilitā¦
Aditi Partap retweeted
New paper alert! šØ
Weighted Batched Threshold Encryption with Efficient DKG
w/ Alexander Frolov, @AditiPartap97, and @ErtemNusretTas
In multi proposer consensus, transactions should be hidden until āvalencyā, the point of no return at which the consensus outcome has been decided. The cleanest way to achieve this property is with threshold encryption. But existing schemes forced difficult tradeoffs between batched, weighted, and efficient schemes. I asked the @a16zcrypto research summer interns if they could come up with a new scheme that was weighted, batched, performant, and didnāt require a trusted setup. Turns out they did!!!
With some optimizations, I was able to get decryption for up to 16 simultaneous proposals to run in ~40ms on 12 cores with thousands of virtual shares and decryption shares that are small enough to fit in a single UDP packet along with the rest of the vote data. This leaves enough performance headroom room on my dev box to run a full Solana validator at the tip with the remaining cores!!!
These results, along with other recent work in threshold encryption are finally pushing threshold encryption into the realm of practicality for use in the Solana protocol. We still have some more optimizations to try so we might be able to push it even lower!
Aditi Partap retweeted
[New] Weighted Batch Threshold Encryption with Efficient DKG (Alexander Frolov and Aditi Partap and Max Resnick and Ertem Nusret Tas) ia.cr/2026/2053
Excited to be in Rome for EUROCRYPT 2026 šš®š¹
Iāll also be giving two talks ā come by if you want to learn about traceability in threshold cryptography! 1/2
ā¢ āTraceable Secret Sharing Revisitedā on Monday [joint work with Abhishek Jain and @vipulg1]
ā¢ āOptimal Threshold Traitor Tracingā on Thursday [joint work with @sourav1547 ,@pratishdatta, Swagata Sasmal and Mark Zhandry] 2/2
Aditi Partap retweeted
Excited to announce new additions to the Neo family.
With @srinathtv, we introduce SuperNeo, a new lattice-based folding scheme that inherits all the benefits of Neo while eliminating the need for a SIMD constraint system and reducing witness sizes by ~64x (degree-wise)...[1/6]
Aditi Partap retweeted
Tired of hunting datasets manually? Today at @p0 weāre launching FindAll API! š Build any datasetāfrom companies to SMBs to job listingsā¦ or even reverse marathons šāāļøš
We built FindAll at Parallel because there simply wasnāt a tool that works.
This will change how you plan, research, and make decisions.
Got a FindAll query? Drop what you built + your thoughts on FindAllš
platform.parallel.ai
Aditi Partap retweeted
I'll be discussing work on using AI for pharmacovigilance (led by @claudeai š ) as a Spotlight in #Agents4Science today at 11:00am PST!
It was really fun participating in @james_y_zou's experiment on what happens if we let an LM lead a research project agents4science.stanford.edu
Aditi Partap retweeted
Tomorrow at CCS @jneu_net will talk about our Accountable Liveness paper (eprint.iacr.org/2025/693). It's well-known how to attribute blame (slashing conditions) when there is a safety violation. Doing the same for liveness violations is harder, but we pin down when it's possible. Joint work also with @Tim_Roughgarden and @luca_zanolini.
Aditi Partap retweeted
I will present new work @acm_ccs this week
Breaking OmertĆ : On Threshold Cryptography, Smart Collusion, and Whistleblowing
ia.cr/2025/1582
tldr; preventing collusion in crypto protocols is hard and even more so when smart contracts are used to facilitate collusion. 1/š§µ
Aditi Partap retweeted
New preprint on AI + Education! š
āModeling Student Learning with 3.8M Program Tracesā š»
When students code, their edits tell a story about their reasoning process: exploring, debugging, and tinkering š§
What can LMs learn from training on student edit sequences? š
Aditi Partap retweeted
We've had 25 research interns over the past four summers @a16crypto, many of whom are now among the most visible researchers in the space. If you'd like to be a part of the summer '26 cohort, apply here: a16z.com/about/jobs/?gh_jid=ā¦
Aditi Partap retweeted
10 years ago, @paraga and I were working together to introduce ranking to Twitterās timeline for hundreds of millions of consumers. Now heās started @p0 to build infrastructure for a very different kind of user: AI agents. And in a full circle moment, weāre able to work together again, as @firstround invested in his seed round last year alongside @khoslaventures and @indexventures.
Parag and I had a chance to sit down for a great conversation last week (his first interview since leaving Twitter!). It was a fascinating reflection on what he learned and what heās doing differently.
We dig into:
- The transition from CTO ā CEO ā Founder
- What he was *really* thinking when all the Twitter drama was going down
- Why he chose to be a founder (vs. take another big role)
- How he landed on the idea for Parallel
- What fundamentally changes when youāre designing for AIs vs. humans
- How he thought about fundraising and building his early team
- How working with customers like Clay shaped Parallelās earliest products
- The case for building āslowā APIs, and the advice he got from @patrickc
- His takes on the modern agent stack and how evals need to evolve
And much more!
Immensely proud to be able to partner with Parag and the entire Parallel team. Theyāve made incredible progress in a short amount of time and I canāt wait for more folks to start playing around with the APIs theyāve built.
The full conversation is below, as well as more details on what Parallel is up to.
Aditi Partap retweeted
just setting up my twttr, again
Iāve been heads down building Parallel with some of the best people Iāve ever worked with. Weāre creating infrastructure for AIs to search and use the web.
Excited to present our new work on Data Availability Sampling (DAS) with repair tomorrow at SBC! #sbc25
With @jneu_net , @danboneh & @lera_banda.
We tackle a key open problem: how to repair missing data chunks in DAS. 1/5
We also build a new multivariate polynomial commitment scheme that supports:
1) Opening proofs for evaluations of derivatives
2) Batch opening algorithm to compute proofs at many points, and
3) repairing an opening proof from a few other proofs. 4/5