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Nathan Manohar

dblp:205/2460 · DBLP profile ↗
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11ranked-venue papers
1as first author
4since 2021 · last 2024
0000-0002-0150-4011ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 10 · 1 first-author · 3 since 2021Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
8 papers
Cryptographic primitives and cryptanalysis · 82% Cryptographic protocols and secure computation · 7% Digital forensics and information hiding · 6%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware accelerators and domain-specific architectures · 100%

Topics — the 16 heaviest of 16, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic primitives and cryptanalysis
functional encryption
0.922020
Combiners for Functional Encryption, Unconditionally · EUROCRYPT (1) 2020
Amplifying the Security of Functional Encryption, Unconditionally · CRYPTO (1) 2020
Cryptographic primitives and cryptanalysis › provable security › security notions
semantic security
0.812024
Witness Semantic Security · EUROCRYPT (5) 2024
Cryptographic primitives and cryptanalysis › homomorphic encryption
bootstrapping
0.612022
Sine Series Approximation of the Mod Function for Bootstrapping of Approximate HE · EUROCRYPT (1) 2022
Cryptographic primitives and cryptanalysis › homomorphic encryption › fully homomorphic encryption
CKKS
0.612022
Sine Series Approximation of the Mod Function for Bootstrapping of Approximate HE · EUROCRYPT (1) 2022
Cryptographic primitives and cryptanalysis
homomorphic encryption
0.612022
Sine Series Approximation of the Mod Function for Bootstrapping of Approximate HE · EUROCRYPT (1) 2022
Hardware accelerators and domain-specific architectures › cryptographic accelerator
homomorphic encryption accelerator
0.612022
CraterLake: a hardware accelerator for efficient unbounded computation on encrypted data · ISCA 2022
Cryptographic primitives and cryptanalysis › cryptographic foundations
combiners
0.412020
Combiners for Functional Encryption, Unconditionally · EUROCRYPT (1) 2020
Cryptographic protocols and secure computation
secure multiparty computation
0.412020
Secure MPC: Laziness Leads to GOD · ASIACRYPT (3) 2020
Cryptographic primitives and cryptanalysis › cryptographic foundations
security amplification
0.412020
Amplifying the Security of Functional Encryption, Unconditionally · CRYPTO (1) 2020
Cryptographic primitives and cryptanalysis › information-theoretic security
unconditional security
0.412020
Amplifying the Security of Functional Encryption, Unconditionally · CRYPTO (1) 2020
Digital forensics and information hiding
watermarking
0.412019
Watermarking Public-Key Cryptographic Primitives · CRYPTO (3) 2019
Cryptographic primitives and cryptanalysis
hash chains
0.312017
T/Key: Second-Factor Authentication From Secure Hash Chains · CCS 2017
Cryptographic primitives and cryptanalysis
hash functions
0.312017
T/Key: Second-Factor Authentication From Secure Hash Chains · CCS 2017
Authentication and access control › multi-factor authentication
two-factor authentication
0.312017
T/Key: Second-Factor Authentication From Secure Hash Chains · CCS 2017
Cryptographic primitives and cryptanalysis › homomorphic encryption
fully homomorphic encryption
0.212022
CraterLake: a hardware accelerator for efficient unbounded computation on encrypted data · ISCA 2022
Authentication and access control
passwordless authentication
0.112017
T/Key: Second-Factor Authentication From Secure Hash Chains · CCS 2017

Methods — techniques the papers use, named apart from their topics

hardware architecture · 1.1FHE acceleration · 1.1sine series approximation · 0.6polynomial approximation · 0.6near-optimal hash chain generation · 0.3lower bound analysis · 0.3
YearPublicationVenuePosition
2024 Witness Semantic Security
Paul Lou, Nathan Manohar, Amit Sahai
EUROCRYPT (5)2
2023 On the Hardness of Scheme-Switching Between SIMD FHE Schemes
Karim M. El Defrawy, Nicholas Genise, Nathan Manohar
PQCrypto3
2022 Sine Series Approximation of the Mod Function for Bootstrapping of Approximate HE
Charanjit S. Jutla, Nathan Manohar
EUROCRYPT (1)2
2022 CraterLake: a hardware accelerator for efficient unbounded computation on encrypted data
abstract
Fully Homomorphic Encryption (FHE) enables offloading computation to untrusted servers with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due to its prohibitive overheads, about 10,000X over unencrypted computation. Recent FHE accelerators have made strides to bridge this performance gap. Unfortunately, prior accelerators only work well for simple programs, but become inefficient for complex programs, which bring additional costs and challenges.
Nikola Samardzic, Axel Feldmann, Aleksandar Krastev, Nathan Manohar, Nicholas Genise, Srini Devadas, Karim M. El Defrawy, Chris Peikert, Daniel Sánchez 0003
ISCA4
2020 Secure MPC: Laziness Leads to GOD
Saikrishna Badrinarayanan, Aayush Jain, Nathan Manohar, Amit Sahai
ASIACRYPT (3)3
2020 Amplifying the Security of Functional Encryption, Unconditionally
Aayush Jain, Alexis Korb, Nathan Manohar, Amit Sahai
CRYPTO (1)3
2020 Combiners for Functional Encryption, Unconditionally
Aayush Jain, Nathan Manohar, Amit Sahai
EUROCRYPT (1)2
2020 Self-Processing Private Sensor Data via Garbled Encryption
Nathan Manohar, Abhishek Jain 0002, Amit Sahai
Proc. Priv. Enhancing Technol.1
2019 Watermarking Public-Key Cryptographic Primitives
Rishab Goyal, Sam Kim, Nathan Manohar, Brent Waters, David J. Wu 0001
CRYPTO (3)3
2019 From FE Combiners to Secure MPC and Back
Prabhanjan Vijendra Ananth, Saikrishna Badrinarayanan, Aayush Jain, Nathan Manohar, Amit Sahai
TCC (1)4
2017 T/Key: Second-Factor Authentication From Secure Hash Chains
abstract
Time-based one-time password (TOTP) systems in use today require storing secrets on both the client and the server. As a result, an attack on the server can expose all second factors for all users in the system. We present T/Key, a time-based one-time password system that requires no secrets on the server. Our work modernizes the classic S/Key system and addresses the challenges in making such a system secure and practical. At the heart of our construction is a new lower bound analyzing the hardness of inverting hash chains composed of independent random functions, which formalizes the security of this widely used primitive. Additionally, we develop a near-optimal algorithm for quickly generating the required elements in a hash chain with little memory on the client. We report on our implementation of T/Key as an Android application. T/Key can be used as a replacement for current TOTP systems, and it remains secure in the event of a server-side compromise. The cost, as with S/Key, is that one-time passwords are longer than the standard six characters used in TOTP.
Dmitry Kogan, Nathan Manohar, Dan Boneh
CCS2