Shiqi Wang

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Citacions	3502	3226
Índex h	21	21
Índex i10	23	22

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Coautors

Suman JanaAssociate Professor of Computer Science, Columbia UniversityCorreu electrònic verificat a cs.columbia.edu
Kaidi XuAssistant Professor, Drexel UniversityCorreu electrònic verificat a northeastern.edu
Huan ZhangAssistant Professor at University of Illinois Urbana-ChampaignCorreu electrònic verificat a illinois.edu
Junfeng YangAssociate Professor of Computer Science, Columbia UniversityCorreu electrònic verificat a cs.columbia.edu
Cho-Jui HsiehUniversity of California, Los AngelesCorreu electrònic verificat a cs.ucla.edu
Varun KumarSenior Science Manager, AWS AI LabsCorreu electrònic verificat a umd.edu
Zijian WangSenior Scientist @ AWS AI LabsCorreu electrònic verificat a stanford.edu
Baishakhi RayAssociate Professor, Columbia UniversityCorreu electrònic verificat a cs.columbia.edu
Kexin PeiAssistant Professor, Computer Science, University of ChicagoCorreu electrònic verificat a cs.uchicago.edu
Haifeng QianPrincipal Applied Scientist, NVIDIACorreu electrònic verificat a us.ibm.com
Zico KolterCarnegie Mellon UniversityCorreu electrònic verificat a cs.cmu.edu
Yizheng ChenUniversity of MarylandCorreu electrònic verificat a umd.edu
Xue LinNortheastern UniversityCorreu electrònic verificat a northeastern.edu
Bing XiangHead of AI Research, Goldman SachsCorreu electrònic verificat a gs.com
Ben AthiwaratkunSenior AI ScientistCorreu electrònic verificat a amazon.com
Parminder BhatiaChief AI Officer, GE HealthcareCorreu electrònic verificat a ge.com
Sanjay Krishna GoudaApplied Scientist, AmazonCorreu electrònic verificat a amazon.com
Vikash SehwagSony AI; Princeton UniversityCorreu electrònic verificat a princeton.edu
Prateek MittalProfessor, Princeton UniversityCorreu electrònic verificat a princeton.edu
Alfred ChenAssistant Professor, University of California, IrvineCorreu electrònic verificat a uci.edu

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Shiqi Wang

Research Scientist, Meta, Llama Team

Correu electrònic verificat a cs.columbia.edu - Pàgina d'inici

Large Language Model Trustworthy AI


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Formal security analysis of neural networks using symbolic intervals S Wang, K Pei, J Whitehouse, J Yang, S Jana USENIX Security 2018, 2018	584	2018
Efficient formal safety analysis of neural networks S Wang, K Pei, J Whitehouse, J Yang, S Jana NeurIPS 2018, 2018	524	2018
Beta-crown: Efficient bound propagation with per-neuron split constraints for neural network robustness verification S Wang, H Zhang, K Xu, X Lin, S Jana, CJ Hsieh, JZ Kolter NeurIPS 2021, 2021	447*	2021
ContexloT: Towards Providing Contextual Integrity to Appified IoT Platforms. YJ Jia, QA Chen, S Wang, A Rahmati, E Fernandes, ZM Mao, A Prakash, ... NDSS 2017, 2017	436	2017
Hydra: Pruning adversarially robust neural networks V Sehwag, S Wang, P Mittal, S Jana NeurIPS 2020, 2020	235	2020
Fast and complete: Enabling complete neural network verification with rapid and massively parallel incomplete verifiers K Xu, H Zhang, S Wang, Y Wang, S Jana, X Lin, CJ Hsieh ICLR 2021, 2021	221	2021
Multi-lingual Evaluation of Code Generation Models B Athiwaratkun, SK Gouda, Z Wang, X Li, Y Tian, M Tan, WU Ahmad, ... ICLR 2023, 2023	150*	2023
General Cutting Planes for Bound-Propagation-Based Neural Network Verification H Zhang, S Wang, K Xu, L Li, B Li, S Jana, CJ Hsieh, JZ Kolter NeurIPS 2022, 2022	118	2022
Are diffusion models vulnerable to membership inference attacks? J Duan, F Kong, S Wang, X Shi, K Xu ICML 2023, 2023	106	2023
Mixtrain: Scalable training of verifiably robust neural networks S Wang, Y Chen, A Abdou, S Jana arXiv preprint arXiv:1811.02625, 2018	105	2018
On training robust {PDF} malware classifiers Y Chen, S Wang, D She, S Jana USENIX Security 2020, 2020	93	2020
ReCode: Robustness Evaluation of Code Generation Models S Wang, Z Li, H Qian, C Yang, Z Wang, M Shang, V Kumar, S Tan, B Ray, ... ACL 2023, 2022	75*	2022
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM G Ryan, S Jain, M Shang, S Wang, X Ma, MK Ramanathan, B Ray FSE 2024, 2024	60	2024
Towards understanding fast adversarial training B Li, S Wang, S Jana, L Carin arXiv preprint arXiv:2006.03089, 2020	56	2020
Shifting attention to relevance: Towards the uncertainty estimation of large language models J Duan, H Cheng, S Wang, C Wang, A Zavalny, R Xu, B Kailkhura, K Xu ACL 2024, 2023	54	2023
Towards compact and robust deep neural networks V Sehwag, S Wang, P Mittal, S Jana arXiv preprint arXiv:1906.06110, 2019	40	2019
Learning Security Classifiers with Verified Global Robustness Properties Y Chen, S Wang, Y Qin, X Liao, S Jana, D Wagner CCS 2021, 2021	36	2021
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks H Zhang, S Wang, K Xu, Y Wang, S Jana, CJ Hsieh, Z Kolter ICML 2022, 2022	34	2022
Cost-Aware Robust Tree Ensembles for Security Applications Y Chen, S Wang, W Jiang, A Cidon, S Jana USENIX Security 2021, 2021	28*	2021
Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models J Duan, H Cheng, S Wang, A Zavalny, C Wang, R Xu, B Kailkhura, K Xu arXiv preprint arXiv:2307.01379, 2023	26	2023

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