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20202026
most citedA Survey on Transferability of Adversarial Examples across Deep Neural Networks

11 citations · 21 across the 9 of their papers we have counts for

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2 papers · 1 filter

cs.LG2026

From token probabilities to calibrated confidence: An empirical study of mathematical question answering

Avery Ma, Lorne Schell, Vin Bhaskara +1

Confidence estimation for large language models (LLMs) aims to estimate the probability that a generated answer is correct, while calibration aligns these estimates with empirical…

cs.CR2026

StepJack: Benchmarking Computer-Use Agent Safety Against Multi-Step Indirect Prompt Injection

Zhuoxin Zhan, Akbar Rafiey, Avery Ma +2

Computer-use agents (CUAs) face a growing threat from indirect prompt injection, where adversarial instructions are planted in the environment such as web pages. In this paper, we…