Hi all,
Next week we'll have two exciting talks:
1. Ariel Gabizon (Aztec Labs) - Revisiting the IPA-sumcheck connection
- Time: 1pm, Sep 10
- Abstract: Inner
Product Arguments (IPA) [BCC+16,BBB+17] are a family of proof systems
with O(log n) sized proofs, O(n) time verifiers, and transparent setup.
Bootle, Chiesa and Sotiraki [BCS21] observed that an IPA can be viewed
as a sumcheck protocol [LFKN92] where the summed polynomial is allowed
to have coefficients in a group rather than a field. We leverage this
viewpoint to improve the performance of multi-linear polynomial
commitments based on IPA. Specifically, - We introduce a simplified
variant of Halo-style accumulation that works for multilinear evaluation
claims, rather than only univariate ones as in [BGH19,BCMS20]. - We
show that the size n MSM the IPA verifier performs can be replaced by a
``group variant'' of basefold[ZCF23]. This reduces the verifier
complexity from O(n) to O(λ*log^2 n).
- Bio: Ariel
is currently Chief Scientist at Aztec Labs. He holds a PhD in
Theoretical Computer Science from the Weizmann Institute. He
transitioned from pure theory to applied ZK working in Eli Ben-Sasson's
lab on STARKs. Joined Zcash in 2016 to help with the first-ever SNARK
trusted setup and real-life deployment and working in the applied ZK
space since. Co-author of PlonK.
2. Joachim Neu (a16z Crypto Research) - The Role of Clients in Consensus
- Time: 11am, Sep 12
- Abstract:
A specter is haunting consensus protocols—the specter of adversary
majority. Dolev and Strong in 1983 showed an early possibility for up to
99% adversaries. Yet, other works show impossibility results for
adversaries above 50% under synchrony, seemingly the same setting as
Dolev and Strong's. What gives? It is high time that we pinpoint a key
culprit for this ostensible contradiction: the modeling details of
clients. Are the clients sleepy or always-on? Are they silent or
communicating? Can validators be sleepy too? We systematize models for
consensus across four dimensions (sleepy/always-on clients,
silent/communicating clients, sleepy/always-on validators, and
synchrony/partial-synchrony), some of which are new, and tightly
characterize the achievable safety and liveness resiliences with
matching possibilities and impossibilities for each of the sixteen
models. To this end, we unify folklore and earlier results, and fill
gaps left in the literature with new protocols and impossibility
theorems.
- Bio: I
am a post-doc Research Partner at a16z Crypto Research led by Tim
Roughgarden. Previously, I earned a PhD from Stanford, advised by David
Tse. My current research focus is blockchain-era consensus and
decentralized-systems security. My broader interests include distributed
computing and systems, applied cryptography, and networking and
communications.
Aviv