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Aafiya Shamshad Hussain

ACL 2026×2CHI 2026ICLR 2026评测与基准推理多模态安全效率与系统
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1 一作 · 4 篇 · ACL 2026 / CHI 2026 / ICLR 2026

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2026 顶会论文

4
一作ACL 2026Poster· Natural Language Processing

S ound B reak: A Systematic Study of Audio-Only Adversarial Attacks on Trimodal Models

Aafiya Shamshad Hussain · Gaurav Srivastava · Alvi Md. Ishmam · Zaber Ibn Abdul Hakim · Chris Thomas

摘要

Multimodal foundation models that integrate audio, vision, and language achieve strong performance on reasoning and generation tasks, yet their robustness to adversarial manipulation remains poorly understood. We study a realistic and underexplored threat model: untargeted, audio-only adversarial...

多模态安全评测与基准OpenReview 项目页
作者位次 #2/4ACL 2026Findings· Findings of ACL

Do LLM s Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models

Gaurav Srivastava · Aafiya Shamshad Hussain · sriram srinivasan · Xuan Wang

摘要

Large language models (LLMs) achieve impressive performance on complex mathematical benchmarks yet sometimes fail on basic math reasoning while generating unnecessarily verbose responses. In this paper, we present LLMThinkBench , a systematic benchmark and comprehensive empirical study to evaluat...

评测与基准推理效率与系统OpenReview 项目页

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