most citedLearning Modulo Theories

4 citations · 8 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SE2023

slash: A Technique for Static Configuration-Logic Identification

Mohannad Alhanahnah, Philipp Schubert, Thomas Reps +2

Researchers have recently devised tools for debloating software and detecting configuration errors. Several of these tools rely on the observation that programs are composed of an…

cs.CL20231 cited

Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs

Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi +3

Large language models (LLMs) have recently shown great advances in a variety of tasks, including natural language understanding and generation. However, their use in high-stakes de…

cs.LG20231 cited

Stratified Adversarial Robustness with Rejection

Jiefeng Chen, Jayaram Raghuram, Jihye Choi +3

Recently, there is an emerging interest in adversarially training a classifier with a rejection option (also known as a selective classifier) for boosting adversarial robustness. W…

cs.AI2023

Efficient Symbolic Reasoning for Neural-Network Verification

Zi Wang, Somesh Jha, Krishnamurthy +1

The neural network has become an integral part of modern software systems. However, they still suffer from various problems, in particular, vulnerability to adversarial attacks. In…

cs.LG20231 cited

The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning

Zhenmei Shi, Jiefeng Chen, Kunyang Li +4

Pre-training representations (a.k.a. foundation models) has recently become a prevalent learning paradigm, where one first pre-trains a representation using large-scale unlabeled d…

cs.CR2023

Formal Analysis of the API Proxy Problem

Somesh Jha, Mihai Christodorescu, Anh Pham

Implementing a security mechanism on top of APIs requires clear understanding of the semantics of each API, to ensure that security entitlements are enforced consistently and compl…