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07/31/2023
SAKSHI: Decentralized AI Platforms
Large AI models (e.g., Dall-E, GPT4) have electrified the scientific, te...
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07/03/2023
BigDipper: A hyperscale BFT system with short term censorship resistance
Byzantine-fault-tolerant (BFT) protocols underlie a variety of decentral...
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03/17/2023
Goldfish: Peer selection using Matrix completion in unstructured P2P network
Peer-to-peer (P2P) networks underlie a variety of decentralized paradigm...
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01/10/2023
HQAlign: Aligning nanopore reads for SV detection using current-level modeling
Motivation: Detection of structural variants (SV) from the alignment of ...
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10/20/2022
TrustBoost: Boosting Trust among Interoperable Blockchains
Currently there exist many blockchains with weak trust guarantees, limit...
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08/22/2022
Optimal Bootstrapping of PoW Blockchains
Proof of Work (PoW) blockchains are susceptible to adversarial majority ...
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07/18/2022
Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities
Bitcoin is the most secure blockchain in the world, supported by the imm...
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01/27/2022
Minotaur: Multi-Resource Blockchain Consensus
Resource-based consensus is the backbone of permissionless distributed l...
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01/20/2022
Babylon: Reusing Bitcoin Mining to Enhance Proof-of-Stake Security
Bitcoin is the most secure blockchain in the world, supported by the imm...
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10/08/2021
DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks
The success of blockchains has sparked interest in large-scale deploymen...
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05/06/2021
Securing Parallel-chain Protocols under Variable Mining Power
Several emerging PoW blockchain protocols rely on a "parallel-chain" arc...
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10/30/2020
ACeD: Scalable Data Availability Oracle
A popular method in practice offloads computation and storage in blockch...
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10/26/2020
The Checkpointed Longest Chain: User-dependent Adaptivity and Finality
Longest-chain protocols such as the one invented by Nakamoto for Bitcoin...
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10/15/2020
PoSAT: Proof-of-Work Availability andUnpredictability, without the Work
An important feature of Proof-of-Work (PoW) blockchains is full dynamic ...
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10/14/2020
BFT Protocol Forensics
Byzantine fault-tolerant (BFT) protocols allow a group of replicas to co...
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08/18/2020
Deepcode and Modulo-SK are Designed for Different Settings
We respond to [1] which claimed that "Modulo-SK scheme outperforms Deepc...
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06/25/2020
Perigee: Efficient Peer-to-Peer Network Design for Blockchains
A key performance metric in blockchains is the latency between when a tr...
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05/21/2020
Everything is a Race and Nakamoto Always Wins
Nakamoto invented the longest chain protocol, and claimed its security b...
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05/19/2020
Free2Shard: Adaptive-adversary-resistant sharding via Dynamic Self Allocation
Propelled by the growth of large-scale blockchain deployments, much rece...
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05/17/2020
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
Estimation of information theoretic quantities such as mutual informatio...
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11/08/2019
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Designing codes that combat the noise in a communication medium has rema...
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10/05/2019
Proof-of-Stake Longest Chain Protocols Revisited
The Nakamoto longest chain protocol has served Bitcoin well in its decad...
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10/02/2019
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains
In this paper, we propose coded Merkle tree (CMT), a novel hash accumula...
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09/27/2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Federated Learning (FL) refers to learning a high quality global model b...
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07/28/2019
Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples
Deep learning classifiers are known to be vulnerable to adversarial exam...
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06/26/2019
Coded State Machine -- Scaling State Machine Execution under Byzantine Faults
We introduce an information-theoretic framework, named Coded State Machi...
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06/06/2019
Learning in Gated Neural Networks
Gating is a key feature in modern neural networks including LSTMs, GRUs ...
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06/05/2019
CCMI : Classifier based Conditional Mutual Information Estimation
Conditional Mutual Information (CMI) is a measure of conditional depende...
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05/01/2019
Dropping Pixels for Adversarial Robustness
Deep neural networks are vulnerable against adversarial examples. In thi...
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03/06/2019
DeepTurbo: Deep Turbo Decoder
Present-day communication systems routinely use codes that approach the ...
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11/30/2018
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks
Designing channel codes under low latency constraints is one of the most...
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10/26/2018
Estimators for Multivariate Information Measures in General Probability Spaces
Information theoretic quantities play an important role in various setti...
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10/18/2018
Deconstructing the Blockchain to Approach Physical Limits
Transaction throughput, confirmation latency and confirmation reliabilit...
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09/27/2018
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously
Today's blockchains do not scale in a meaningful sense. As more nodes jo...
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09/10/2018
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
Generative Adversarial networks (GANs) have obtained remarkable success ...
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07/02/2018
Deepcode: Feedback Codes via Deep Learning
The design of codes for communicating reliably over a statistically well...
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06/25/2018
Mimic and Classify : A meta-algorithm for Conditional Independence Testing
Given independent samples generated from the joint distribution p(x,y,z)...
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05/23/2018
Communication Algorithms via Deep Learning
Coding theory is a central discipline underpinning wireline and wireless...
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02/21/2018
Globally Consistent Algorithms for Mixture of Experts
Mixture-of-Experts (MoE) is a widely popular neural network architecture...
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10/13/2017
Potential Conditional Mutual Information: Estimators, Properties and Applications
The conditional mutual information I(X;Y|Z) measures the average informa...
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09/12/2017
Discovering Potential Correlations via Hypercontractivity
Discovering a correlation from one variable to another variable is of fu...
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08/27/2016
Learning Temporal Dependence from Time-Series Data with Latent Variables
We consider the setting where a collection of time series, modeled as ra...
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02/10/2016