activity
20232026
most citedEquivalence and Similarity Refutation for Probabilistic Programs

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

collaborators

14 papers

cs.AI2026

Quantitative Analysis of -Regular Robust MDPs

Ali Asadi, Krishnendu Chatterjee, Ehsan Kafshdar Goharshady +3

Robust Markov Decision Processes (RMDPs) generalize classical MDPs by allowing uncertainty in transition probabilities and optimizing against their worst-case realization. We consi…

cs.AI2026

Automated Approach for Solving Infinite-state Polynomial Reachability Games

Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi +2

Reachability games are two-player games played on a graph, where the objective of player is to reach the target set whereas the objective of player…

cs.PL2026

SuperDP: Differential Privacy Refutation via Supermartingales

Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Đorđe Žikelić

Differential privacy (DP) has established itself as one of the standards for ensuring privacy of individual data. However, reasoning about DP is a challenging and error-prone task,…

cs.AI2025

Qualitative Analysis of -Regular Objectives on Robust MDPs

Ali Asadi, Krishnendu Chatterjee, Ehsan Kafshdar Goharshady +2

Robust Markov Decision Processes (RMDPs) generalize classical MDPs that consider uncertainties in transition probabilities by defining a set of possible transition functions. An ob…

cs.LO2025

Fixed Point Certificates for Reachability and Expected Rewards in MDPs

Krishnendu Chatterjee, Tim Quatmann, Maximilian Schäffeler +3

The possibility of errors in human-engineered formal verification software, such as model checkers, poses a serious threat to the purpose of these tools. An established approach to…

cs.PL2025

Refuting Equivalence in Probabilistic Programs with Conditioning

Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Petr Novotný +1

We consider the problem of refuting equivalence of probabilistic programs, i.e., the problem of proving that two probabilistic programs induce different output distributions. We st…

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…

cs.AI2023★ 1 cited

Solving Long-run Average Reward Robust MDPs via Stochastic Games

Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi +2

Markov decision processes (MDPs) provide a standard framework for sequential decision making under uncertainty. However, MDPs do not take uncertainty in transition probabilities in…