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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.LG2026

Cybersecurity Detection Classification with Reasoning-enabled Language Models

Amol Khanna, Manu Nandan, Cristian Viorel Popa +10

The paper introduces a chain-of-thought reasoning classifier built on large language models to triage Windows endpoint security alerts, using a calibrated confidence estimator to i…

cs.CL2026

Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures

Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377

To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…

cs.LG2026

Adversarial Samples Are Not Created Equal

Jennifer Crawford, Amol Khanna, Fred Lu +4

Over the past decade, numerous theories have been proposed to explain the widespread vulnerability of deep neural networks to adversarial evasion attacks. Among these, the theory o…

cs.CV2025

Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent

Philip Doldo, Derek Everett, Amol Khanna +2

Projected Gradient Descent (PGD) under the ball has become one of the defacto methods used in adversarial robustness evaluation for computer vision (CV) due to its relia…

cs.LG2025

Differentially Private Iterative Screening Rules for Linear Regression

Amol Khanna, Fred Lu, Edward Raff

Linear -regularized models have remained one of the simplest and most effective tools in data science. Over the past decade, screening rules have risen in popularity as a way…

cs.LG2025

Multi-layer Radial Basis Function Networks for Out-of-distribution Detection

Amol Khanna, Chenyi Ling, Derek Everett +2

Existing methods for out-of-distribution (OOD) detection use various techniques to produce a score, separate from classification, that determines how ``OOD'' an input is. Our insig…