Abhishek Shah

According to our database, Abhishek Shah authored at least 16 papers between 2014 and 2024.

Collaborative distances:

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

2024

Multi-Label Classification for Fashion Data: Zero-Shot Classifiers via Few-Shot Learning on Large Language Models.

Dongming Jiang, Abhishek Shah, Stanley Yeung, Jessica Zhu, Karan Singh, George Goldenberg

Proceedings of the 16th International Joint Conference on Knowledge Discovery, 2024

2023

A Hybrid Approach for Depression Classification: Random Forest-ANN Ensemble on Motor Activity Signals.

Anket Patil, Dhairya Shah, Abhishek Shah, Mokshit Gala

CoRR, 2023

Precise Detection of Kernel Data Races with Probabilistic Lockset Analysis.

Gabriel Ryan, Abhishek Shah, Dongdong She, Suman Jana

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2022

MC²: Rigorous and Efficient Directed Greybox Fuzzing.

Abhishek Shah, Dongdong She, Samanway Sadhu, Krish Singal, Peter Coffman, Suman Jana

CoRR, 2022

Effective Seed Scheduling for Fuzzing with Graph Centrality Analysis.

Dongdong She, Abhishek Shah, Suman Jana

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

MC2: Rigorous and Efficient Directed Greybox Fuzzing.

Abhishek Shah, Dongdong She, Samanway Sadhu, Krish Singal, Peter Coffman, Suman Jana

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Gage MPC: Bypassing Residual Function Leakage for Non-Interactive MPC.

Ghada Almashaqbeh, Fabrice Benhamouda, Seungwook Han, Daniel Jaroslawicz, Tal Malkin, Alex Nicita, Tal Rabin, Abhishek Shah, Eran Tromer

Proc. Priv. Enhancing Technol., 2021

Fine Grained Dataflow Tracking with Proximal Gradients.

Gabriel Ryan, Abhishek Shah, Dongdong She, Koustubha Bhat, Suman Jana

Proceedings of the 30th USENIX Security Symposium, 2021

Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations.

Haode Qi, Lin Pan, Atin Sood, Abhishek Shah, Ladislav Kunc, Mo Yu, Saloni Potdar

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Multilingual BERT Post-Pretraining Alignment.

Lin Pan, Chung-Wei Hang, Haode Qi, Abhishek Shah, Saloni Potdar, Mo Yu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Benchmarking Intent Detection for Task-Oriented Dialog Systems.

Haode Qi, Lin Pan, Atin Sood, Abhishek Shah, Ladislav Kunc, Saloni Potdar

CoRR, 2020

Neutaint: Efficient Dynamic Taint Analysis with Neural Networks.

Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, Suman Jana

Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

Iterative Data Programming for Expanding Text Classification Corpora.

Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning.

Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Bootstrapping Conversational Agents with Weak Supervision.

Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2014

Andd7 @ NTCIR-11 Temporal Information Access Task.

Abhishek Shah, Dharak Shah, Prasenjit Majumder

Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, 2014