Surin Ahn

According to our database, Surin Ahn authored at least 16 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression.

Yucheng Li, Surin Ahn, Huiqiang Jiang, Amir H. Abdi, Yuqing Yang, Lili Qiu

CoRR, June, 2025

MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention.

Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu

CoRR, April, 2025

SCBench: A KV Cache-Centric Analysis of Long-Context Methods.

Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Adaptive Group Testing on Networks With Community Structure: The Stochastic Block Model.

Surin Ahn, Wei-Ning Chen, Ayfer Özgür

IEEE Trans. Inf. Theory, July, 2023

Local Model Explanations and Uncertainty Without Model Access.

Surin Ahn, Justin Grana, Yafet Tamene, Kristian Holsheimer

CoRR, 2023

Noisy Adaptive Group Testing for Community-Oriented Models.

Surin Ahn, Wei-Ning Chen, Ayfer Özgür

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Estimating Sparse Distributions Under Joint Communication and Privacy Constraints.

Surin Ahn, Wei-Ning Chen, Ayfer Özgür

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Adaptive Group Testing on Networks with Community Structure.

Surin Ahn, Wei-Ning Chen, Ayfer Özgür

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Global Multiclass Classification and Dataset Construction via Heterogeneous Local Experts.

Surin Ahn, Ayfer Özgür, Mert Pilanci

IEEE J. Sel. Areas Inf. Theory, 2020

Global Multiclass Classification from Heterogeneous Local Models.

Surin Ahn, Ayfer Özgür, Mert Pilanci

CoRR, 2020

2019

Adaptive AR visual output security using reinforcement learning trained policies: demo abstract.

Joseph DeChicchis, Surin Ahn, Maria Gorlatova

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

A Group Testing Approach to Random Access for Short-Packet Communication.

Huseyin A. Inan, Surin Ahn, Peter Kairouz, Ayfer Özgür

Proceedings of the IEEE International Symposium on Information Theory, 2019

Personalized augmented reality via fog-based imitation learning.

Surin Ahn, Maria Gorlatova, Parinaz Naghizadeh, Mung Chiang

Proceedings of the Workshop on Fog Computing and the IoT, 2019

2018

Adaptive Fog-Based Output Security for Augmented Reality.

Surin Ahn, Maria Gorlatova, Parinaz Naghizadeh, Mung Chiang, Prateek Mittal

Proceedings of the 2018 Morning Workshop on Virtual Reality and Augmented Reality Network, 2018

2013

A Powerful Statistical Method for Identifying Differentially Methylated Markers in Complex Diseases.

Surin Ahn, Tao Wang

Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013