activity
20112021
most citedAn Inductive Synthesis Framework for Verifiable Reinforcement Learning

52 citations · 78 across the 5 of their papers we have counts for

collaborators

9 papers

cs.PL20214 cited

Repairing Serializability Bugs in Distributed Database Programs via Automated Schema Refactoring

Kia Rahmani, Kartik Nagar, Benjamin Delaware +1

Serializability is a well-understood concurrency control mechanism that eases reasoning about highly-concurrent database programs. Unfortunately, enforcing serializability has a hi…

cs.LG20203 cited

Robustness to Adversarial Attacks in Learning-Enabled Controllers

Zikang Xiong, Joe Eappen, He Zhu +1

Learning-enabled controllers used in cyber-physical systems (CPS) are known to be susceptible to adversarial attacks. Such attacks manifest as perturbations to the states generated…

cs.PL2019

CLOTHO: Directed Test Generation for Weakly Consistent Database Systems

Kia Rahmani, Kartik Nagar, Benjamin Delaware +1

Relational database applications are notoriously difficult to test and debug. Concurrent execution of database transactions may violate complex structural invariants that constrain…

cs.LG201952 cited

An Inductive Synthesis Framework for Verifiable Reinforcement Learning

He Zhu, Zikang Xiong, Stephen Magill +1

Despite the tremendous advances that have been made in the last decade on developing useful machine-learning applications, their wider adoption has been hindered by the lack of str…

cs.LG2019

ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks

Xuankang Lin, He Zhu, Roopsha Samanta +1

Artificial Neural Networks (ANNs) have demonstrated remarkable utility in various challenging machine learning applications. While formally verified properties of their behaviors a…

cs.PL2019

Automated Parameterized Verification of CRDTs

Kartik Nagar, Suresh Jagannathan

Maintaining multiple replicas of data is crucial to achieving scalability, availability and low latency in distributed applications. Conflict-free Replicated Data Types (CRDTs) are…