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20232026
most citedEquivalence and Similarity Refutation for Probabilistic Programs

2 citations · 6 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.LO2024

Quantified Linear and Polynomial Arithmetic Satisfiability via Template-based Skolemization

Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi +3

The problem of checking satisfiability of linear real arithmetic (LRA) and non-linear real arithmetic (NRA) formulas has broad applications, in particular, they are at the heart of…

cs.LO2024

PolyQEnt: A Polynomial Quantified Entailment Solver

Krishnendu Chatterjee, Amir Kafshdar Goharshady, Ehsan Kafshdar Goharshady +4

Polynomial quantified entailments with existentially and universally quantified variables arise in many problems of verification and program analysis. We present PolyQEnt which is…

cs.CR2024★ 1 cited

Fully Automated Selfish Mining Analysis in Efficient Proof Systems Blockchains

Krishnendu Chatterjee, Amirali Ebrahimzadeh, Mehrdad Karrabi +3

We study selfish mining attacks in longest-chain blockchains like Bitcoin, but where the proof of work is replaced with efficient proof systems -- like proofs of stake or proofs of…

cs.AI2024

Certified Policy Verification and Synthesis for MDPs under Distributional Reach-avoidance Properties

S. Akshay, Krishnendu Chatterjee, Tobias Meggendorfer +1

Markov Decision Processes (MDPs) are a classical model for decision making in the presence of uncertainty. Often they are viewed as state transformers with planning objectives defi…

cs.PL2024★ 2 cited

Equivalence and Similarity Refutation for Probabilistic Programs

Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Petr Novotný +1

We consider the problems of statically refuting equivalence and similarity of output distributions defined by a pair of probabilistic programs. Equivalence and similarity are two f…

eess.SY2024★ 2 cited

Learning Algorithms for Verification of Markov Decision Processes

Tomáš Brázdil, Krishnendu Chatterjee, Martin Chmelik +6

We present a general framework for applying learning algorithms and heuristical guidance to the verification of Markov decision processes (MDPs). The primary goal of our techniques…

cs.PL2024

Sound and Complete Witnesses for Template-based Verification of LTL Properties on Polynomial Programs

Krishnendu Chatterjee, Amir Kafshdar Goharshady, Ehsan Kafshdar Goharshady +2

We study the classical problem of verifying programs with respect to formal specifications given in the linear temporal logic (LTL). We first present novel sound and complete witne…