Kartik Nayak Profile
Kartik Nayak

@kartik1507

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2K
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708

Associate Professor, Duke University | Espresso Systems | https://t.co/19Cm6tO2jU | Blockchains and Applied Cryptography

Joined March 2009
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@kartik1507
Kartik Nayak
28 days
Excited that our paper Optimistic, Signature-Free Reliable Broadcast and Its Applications received a distinguished paper award at ACM CCS 2025. with @nibeshrestha2, Qianyu Yu, @giuliano_losa, @aniketpkate, @wang_xuechao
@wang_xuechao
Xuechao Wang
1 month
We got one of the distinguished paper awards! Congrats to the whole team!
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@kartik1507
Kartik Nayak
1 month
Check the paper here:
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@kartik1507
Kartik Nayak
1 month
Watch out for the talk by @giuliano_losa on our paper, Optimistic, Signature-Free Reliable Broadcast and Its Applications, at @acm_ccs 2025. We introduce a signature-free Reliable Broadcast (RBC) protocol that achieves 2-step termination under optimistic conditions (vs. 3-step
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@AndrewLewisPye
Andrew Lewis-Pye
1 month
Today at AFT @Tim_Roughgarden will talk about our paper "Beyond Optimal Fault-Tolerance", where we analyse how "recovery procedures" can be used increase the resilience of blockchain protocols beyond the standard impossibility bounds. Here's the paper:
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@AndrewLewisPye
Andrew Lewis-Pye
1 month
Later today at AFT, Jovan Komatovic will talk about our paper "From Permissioned to Proof-of-Stake Consensus". The paper gives a generic wrapper that takes any permissioned blockchain protocol and turns it into proof-of-stake version (inheriting fundmental properties of the
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eprint.iacr.org
This paper presents the first generic compiler that transforms any permissioned consensus protocol into a proof-of-stake permissionless consensus protocol. For each of the following properties, if...
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@EspressoSys
Espresso ☕️
2 months
ZK Tech and the Future of L2s panel at KBW brings together three companies building essential infrastructure for Web3's future. @benafisch (our co-founder/CEO) joins @pumatheuma, founder of @SuccinctLabs, and @sandeepnailwal, founder of @0xPolygon, to discuss their projects and
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@kartik1507
Kartik Nayak
3 months
What are some of the conceptual contributions made in the DAG consensus line of work? Read our post on Decentralized Thoughts:
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decentralizedthoughts.github.io
Since 2018, blockchain research has seen a surge in DAG-based BFT protocols aimed at achieving higher throughput. These protocols trace back to Hashgraph, 2018, Aleph, 2019, the theoretical work of...
@ittaia
Ittai Abraham
3 months
1/ Decentralized thoughts on DAGs With Neil Giridharan and @kartik1507 https://t.co/GEfRyGO4gl
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@ittaia
Ittai Abraham
3 months
In fact you can get the optimal 5f-1 (or more generally 3f+2p-1) https://t.co/ulLaLQ2M6S
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decentralizedthoughts.github.io
In our previous post, we described a 2-round partially synchronous BFT protocol for $n = 5f+1$. In this follow-up post, we push the bound to $n = 5f-1$, achieving optimal 2-round commit in the...
@ittaia
Ittai Abraham
4 months
Decentralized thoughts on Concurrent 2-round and 3-round Simplex-style BFT with @ElodinStorm , @kartik1507 , and Ling Ren https://t.co/lGdn0N3BPO
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@AndrewLewisPye
Andrew Lewis-Pye
4 months
Looking forward to speak at the Science and Engineering of Consensus workshop on Sunday in Berkeley. I'll talk about recent work with @kartik1507 and @nibeshrestha2 on our "Pipes" model for analysing blockchain protocols. One of the advantages of the model is that it actually
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@soispoke
soispoke.eth
4 months
Generally great to see some takes on Glamsterdam. But a few thoughts on FOCIL: > "its censorship benefits do not extend to 99% of transactions known to be excluded by block builders today." I don't think that's fair or accurate: - Today, 60% of transactions still go to the
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dune.com
Dune is the all-in-one crypto data platform — query with SQL, stream data via APIs & DataShare, and publish interactive dashboards across 100+ blockchains.
@hasufl
Hasu⚡️🤖
4 months
I partnered with @Data_Always to provide our MEV perspective on the Glamsterdam upgrade. TLDR: While BALs are uncontroversially good for the EL, there is no standout candidate for the CL. Every option has clear pros & cons, some of which surprised us. https://t.co/T33AZU3GKo
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@ellierdavidson
Ellie Davidson
4 months
More frequent batch posts to the L1 = faster, secure confirmations. Faster, secure confirmations = 1. More efficient use of liquidity due to reduced risk exposure window --> more volume bridged at a single time at (potentially) lower prices. 2. Faster withdrawal times to the
@donnoh_eth
donnoh.eth 💗
4 months
0.31 gwei basefee is crazy. rollups should consider taking this opportunity to post data and proofs more often to offer a better ux to their users, especially @zksync @Starknet @LineaBuild @Scroll_ZKP @inkonchain @soneium @modenetwork
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@PGarimidi
Pranav Garimidi
4 months
Encrypted mempools can seem like an appealing solution to fixing the market structure on blockchains. But, even a perfect cryptographic solution still leaves a lot of gaps. We’re going to need new economic mechanisms in addition to cryptography to totally address the problem.
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@aniketpkate
Aniket Kate
4 months
Fast finality for reliable broadcast,  asynchronous verifiable secret sharing (AVSS), asynchronous verifiable information dispersal (AVID), and blockchains while maintaining optimal fault tolerance of 33%! paper: https://t.co/c7zxkOhub9 Now, all these primitives can be
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arxiv.org
Reliable broadcast (RBC) is a key primitive in fault-tolerant distributed systems, and improving its efficiency can benefit a wide range of applications. This work focuses on signature-free RBC...
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@kartik1507
Kartik Nayak
5 months
Combining avenues (A) and (B): Hydrangea, our new paper ( https://t.co/ZG5nbFKeYD) with @nibeshrestha2 and @aniketpkate Lower bound 5: There exists no partially synchronous Byzantine broadcast protocol that tolerates f Byzantine faults and c crash faults for n = 3f + 2c + k + 1,
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@kartik1507
Kartik Nayak
5 months
Avenue (B): achieve better good-case latency when there are fewer Byzantine faults Lower bound 4: We need n >= 3f + 2p - 1 to tolerate f Byzantine faults and achieve a 2-round good-case latency when p <= f ( https://t.co/hjR9cQO4d8, https://t.co/2VkGFmcZv0) Upper bound: FaB,
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decentralizedthoughts.github.io
Guest post by Zhuolun Xiang State Machine Replication and Broadcast Many existing permission blockchains are built using Byzantine fault-tolerant state machine replication (BFT SMR), which ensures...
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@kartik1507
Kartik Nayak
5 months
Two avenues to improve: (A) tolerate more crashes, (B) achieve better good-case latency when there are fewer Byzantine faults Avenue (A): tolerate more crashes Lower bound 3: We need n >= 3f + 2c + 1 to tolerate f Byzantine faults and c crash faults under partial synchrony
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@kartik1507
Kartik Nayak
5 months
A thread summarizing research on the good-case latency and resilience of partial synchrony protocols. Lower bound 1 (DLS): It is impossible to solve agreement under partial synchrony against a Byzantine adversary if f >= n/3. ( https://t.co/xCFUNXSlfX) Lower bound 2 (Good-case
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decentralizedthoughts.github.io
Lower bounds in distributed computing are very helpful. They prevent us from wasting time on impossible tasks :-). More importantly, they help us focus on what is optimally possible or how to...
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