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Mukesh Tiwari

dblp:02/8036 · DBLP profile ↗
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4ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0001-5373-9659ORCID · verified

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

Security and privacy · 3 · 2 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.

Software engineering, system software, and programming languages
2 papers
Program verification · 86% Software maintenance and evolution · 14%
Network and information security
3 papers
Cryptographic protocols and secure computation · 100%
Theoretical computer science
1 paper
Automated reasoning and model checking · 100%

Topics — the 10 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic protocols and secure computation
machine-checked proofs
0.712023
Machine-checking Multi-Round Proofs of Shuffle: Terelius-Wikstrom and Bayer-Groth · USENIX Security Symposium 2023
Cryptographic protocols and secure computation
verifiable shuffle
0.712023
Machine-checking Multi-Round Proofs of Shuffle: Terelius-Wikstrom and Bayer-Groth · USENIX Security Symposium 2023
Program verification
concurrent program verification
0.712023
Assume but Verify: Deductive Verification of Leaked Information in Concurrent Applications · CCS 2023
Program verification
deductive verification
0.712023
Assume but Verify: Deductive Verification of Leaked Information in Concurrent Applications · CCS 2023
Program verification › security property verification
information flow verification
0.712023
Assume but Verify: Deductive Verification of Leaked Information in Concurrent Applications · CCS 2023
Cryptographic protocols and secure computation › electronic voting
verifiable voting
0.412019
Verified Verifiers for Verifying Elections · CCS 2019
Software maintenance and evolution › reverse engineering
code extraction
0.412019
Verified Verifiers for Verifying Elections · CCS 2019
Program verification › formal proof
mechanized proof
0.412019
Verified Verifiers for Verifying Elections · CCS 2019
Automated reasoning and model checking › theorem proving
proof checking
0.212023
Machine-checking Multi-Round Proofs of Shuffle: Terelius-Wikstrom and Bayer-Groth · USENIX Security Symposium 2023
Cryptographic protocols and secure computation
electronic voting
0.112019
Verified Verifiers for Verifying Elections · CCS 2019

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

proof assistant · 1.3formal verification · 1.3auto-active program verifier · 1.3assume annotations · 1.3SecCSL · 1.3machine-checked proof · 0.8code extraction · 0.8
YearPublicationVenuePosition
2023 Assume but Verify: Deductive Verification of Leaked Information in Concurrent Applications
abstract
We consider the problem of specifying and proving the security of non-trivial, concurrent programs that intentionally leak information. We present a method that decomposes the problem into (a) proving that the program only leaks information it has declassified via assume annotations already widely used in deductive program verification; and (b) auditing the declassifications against a declarative security policy. We show how condition (a) can be enforced by an extension of the existing program logic SecCSL, and how (b) can be checked by proving a set of simple entailments. Part of the challenge is to define respective semantic soundness criteria and to formally connect these to the logic rules and policy audit. We support our methodology in an auto-active program verifier, which we apply to verify the implementations of various case study programs against a range of declassification policies.
Toby C. Murray, Mukesh Tiwari, Gidon Ernst, David A. Naumann
CCS2
2023 Machine-checking Multi-Round Proofs of Shuffle: Terelius-Wikstrom and Bayer-Groth
Thomas Haines, Rajeev Goré, Mukesh Tiwari
USENIX Security Symposium3
2019 Verified Verifiers for Verifying Elections
abstract
The security and trustworthiness of elections is critical to democracy; alas, securing elections is notoriously hard. Powerful cryptographic techniques for verifying the integrity of electronic voting have been developed and are in increasingly common use. The claimed security guarantees of most of these techniques have been formally proved. However, implementing the cryptographic verifiers which utilize these techniques is a technical and error prone process, and often leads to critical errors appearing in the gap between the implementation and the formally verified design. We significantly reduce the gap between theory and practice by using machine checked proofs coupled with code extraction to produce cryptographic verifiers that are themselves formally verified. We demonstrate the feasibility of our technique by producing a formally verified verifier which we use to check the 2018 International Association for Cryptologic Research (IACR) directors election.
Thomas Haines, Rajeev Goré, Mukesh Tiwari
CCS3
2017 Schulze Voting as Evidence Carrying Computation
Dirk Pattinson, Mukesh Tiwari
ITP2