Sreeram Kannan

Securing Parallel-chain Protocols under Variable Mining Power

Several emerging PoW blockchain protocols rely on a "parallel-chain" arc...
05/06/2021 ∙ by Xuechao Wang, et al. ∙ 0 ∙ share

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ACeD: Scalable Data Availability Oracle

A popular method in practice offloads computation and storage in blockch...
10/30/2020 ∙ by Peiyao Sheng, et al. ∙ 0 ∙ share

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The Checkpointed Longest Chain: User-dependent Adaptivity and Finality

Longest-chain protocols such as the one invented by Nakamoto for Bitcoin...
10/26/2020 ∙ by Suryanarayana Sankagiri, et al. ∙ 0 ∙ share

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PoSAT: Proof-of-Work Availability andUnpredictability, without the Work

An important feature of Proof-of-Work (PoW) blockchains is full dynamic ...
10/15/2020 ∙ by Soubhik Deb, et al. ∙ 0 ∙ share

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BFT Protocol Forensics

Byzantine fault-tolerant (BFT) protocols allow a group of replicas to co...
10/14/2020 ∙ by Peiyao Sheng, et al. ∙ 0 ∙ share

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Deepcode and Modulo-SK are Designed for Different Settings

We respond to [1] which claimed that "Modulo-SK scheme outperforms Deepc...
08/18/2020 ∙ by Hyeji Kim, et al. ∙ 17 ∙ share

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Perigee: Efficient Peer-to-Peer Network Design for Blockchains

A key performance metric in blockchains is the latency between when a tr...
06/25/2020 ∙ by Yifan Mao, et al. ∙ 0 ∙ share

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Everything is a Race and Nakamoto Always Wins

Nakamoto invented the longest chain protocol, and claimed its security b...
05/21/2020 ∙ by Amir Dembo, et al. ∙ 0 ∙ share

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Free2Shard: Adaptive-adversary-resistant sharding via Dynamic Self Allocation

Propelled by the growth of large-scale blockchain deployments, much rece...
05/19/2020 ∙ by Ranvir Rana, et al. ∙ 0 ∙ share

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C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation

Estimation of information theoretic quantities such as mutual informatio...
05/17/2020 ∙ by Arnab Kumar Mondal, et al. ∙ 0 ∙ share

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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...
11/08/2019 ∙ by Yihan Jiang, et al. ∙ 0 ∙ share

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Proof-of-Stake Longest Chain Protocols Revisited

The Nakamoto longest chain protocol has served Bitcoin well in its decad...
10/05/2019 ∙ by Xuechao Wang, et al. ∙ 0 ∙ share

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Coded Merkle Tree: Solving Data Availability Attacks in Blockchains

In this paper, we propose coded Merkle tree (CMT), a novel hash accumula...
10/02/2019 ∙ by Mingchao Yu, et al. ∙ 0 ∙ share

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Improving Federated Learning Personalization via Model Agnostic Meta Learning

Federated Learning (FL) refers to learning a high quality global model b...
09/27/2019 ∙ by Yihan Jiang, et al. ∙ 0 ∙ share

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Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples

Deep learning classifiers are known to be vulnerable to adversarial exam...
07/28/2019 ∙ by Hossein Hosseini, et al. ∙ 1 ∙ share

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Coded State Machine -- Scaling State Machine Execution under Byzantine Faults

We introduce an information-theoretic framework, named Coded State Machi...
06/26/2019 ∙ by Songze Li, et al. ∙ 0 ∙ share

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Learning in Gated Neural Networks

Gating is a key feature in modern neural networks including LSTMs, GRUs ...
06/06/2019 ∙ by Ashok Vardhan Makkuva, et al. ∙ 0 ∙ share

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CCMI : Classifier based Conditional Mutual Information Estimation

Conditional Mutual Information (CMI) is a measure of conditional depende...
06/05/2019 ∙ by Sudipto Mukherjee, et al. ∙ 0 ∙ share

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Dropping Pixels for Adversarial Robustness

Deep neural networks are vulnerable against adversarial examples. In thi...
05/01/2019 ∙ by Hossein Hosseini, et al. ∙ 0 ∙ share

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DeepTurbo: Deep Turbo Decoder

Present-day communication systems routinely use codes that approach the ...
03/06/2019 ∙ by Yihan Jiang, et al. ∙ 0 ∙ share

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LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks

Designing channel codes under low latency constraints is one of the most...
11/30/2018 ∙ by Yihan Jiang, et al. ∙ 2 ∙ share

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Estimators for Multivariate Information Measures in General Probability Spaces

Information theoretic quantities play an important role in various setti...
10/26/2018 ∙ by Arman Rahimzamani, et al. ∙ 0 ∙ share

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Deconstructing the Blockchain to Approach Physical Limits

Transaction throughput, confirmation latency and confirmation reliabilit...
10/18/2018 ∙ by Vivek Bagaria, et al. ∙ 0 ∙ share

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PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously

Today's blockchains do not scale in a meaningful sense. As more nodes jo...
09/27/2018 ∙ by Songze Li, et al. ∙ 0 ∙ share

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ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

Generative Adversarial networks (GANs) have obtained remarkable success ...
09/10/2018 ∙ by Sudipto Mukherjee, et al. ∙ 10 ∙ share

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Deepcode: Feedback Codes via Deep Learning

The design of codes for communicating reliably over a statistically well...
07/02/2018 ∙ by Hyeji Kim, et al. ∙ 0 ∙ share

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Mimic and Classify : A meta-algorithm for Conditional Independence Testing

Given independent samples generated from the joint distribution p(x,y,z)...
06/25/2018 ∙ by Rajat Sen, et al. ∙ 0 ∙ share

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Communication Algorithms via Deep Learning

Coding theory is a central discipline underpinning wireline and wireless...
05/23/2018 ∙ by Hyeji Kim, et al. ∙ 2 ∙ share

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Globally Consistent Algorithms for Mixture of Experts

Mixture-of-Experts (MoE) is a widely popular neural network architecture...
02/21/2018 ∙ by Ashok Vardhan Makkuva, et al. ∙ 0 ∙ share

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Potential Conditional Mutual Information: Estimators, Properties and Applications

The conditional mutual information I(X;Y|Z) measures the average informa...
10/13/2017 ∙ by Arman Rahimzamani, et al. ∙ 0 ∙ share

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Discovering Potential Correlations via Hypercontractivity

Discovering a correlation from one variable to another variable is of fu...
09/12/2017 ∙ by Hyeji Kim, et al. ∙ 0 ∙ share

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Learning Temporal Dependence from Time-Series Data with Latent Variables

We consider the setting where a collection of time series, modeled as ra...
08/27/2016 ∙ by Hossein Hosseini, et al. ∙ 0 ∙ share

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Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications

We conduct an axiomatic study of the problem of estimating the strength ...
02/10/2016 ∙ by Weihao Gao, et al. ∙ 0 ∙ share

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Sreeram Kannan

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