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Jul 17, 2020 Juliane Sempionatto, Muyang Lin, Lu Yin, Ernesto de la Paz, Kexin Pei, Thitaporn Sonsa-ard, Andre de Loyola Silva, Ahmed Khorshed, Fangyu
0. results. Research Areas. Transfer Learning • Malware Detection • Autonomous Vehicles • Vulnerability Detection • Language Modelling • Self-Supervised Kexin Pei 05.08.2017 French Revolution The Beginning of French Revolution Resentment economic enlightment leadership Storming the Bastille May -June May 7-15 Barcelona Economic: Enlightment: Leadership: Factors Bad harvest High taxes High prices Huge debts Ideas: Liberty Equality Kexin Pei is on Facebook. Join Facebook to connect with Kexin Pei and others you may know. Facebook gives people the power to share and makes the world more open and connected. Share your videos with friends, family, and the world Kexin Pei⋆, Yinzhi Cao†, Junfeng Yang⋆, Suman Jana⋆ ⋆Columbia University, †Lehigh University ABSTRACT Deep learning (DL) systems are increasingly deployed in safety- and security-critical domains including self-driving cars and malware detection, where the correctness and pre-dictability of a system’s behavior for corner case 2017-10-09 2017-05-18 Kexin Pei, Yinzhi Cao, Junfeng Yang, Suman Jana SOSP 2017 (SOSP 2017)DeepXplore: Automated Whitebox Testing of Deep Learning Systems05 February 2018 25 / 57.
There are 9 professionals named "Kexin Pei", who use LinkedIn to exchange information, ideas, and opportunities. Kexin Pei Author page based on publicly available paper data. 6. papers with code. 8. papers.
Pei Ketron is a photographer, educator, speaker, and traveler based in San Francisco. Pei was born in Taiwan and raised on the Navajo Nation in Arizona as
PhD student at Columbia CS. peikexin9 has 9 repositories available. Follow their code on GitHub.
Bernhard Hesse, Max Langer, Peter Varga, Alexandra Pacureanu, Pei Dong, Tarik Yardibi, Jian Li, Magnus Lundberg Nordenvaad, Hao He och Kexin Zhao.
student at Department of Computer Science, Columbia University. I am broadly interested in Security, Systems, and Machine Learning. HERCULE: attack story reconstruction via community discovery on correlated log graph Kexin Pei, Zhongshu Gu, Brendan Saltaformaggio, ShiQing Ma, Fei Wang 0001, Zhiwei Zhang, Luo Si, Xiangyu Zhang, Dongyan Xu. acsac 2016: 583-595 Kexin Pei. Ph.D. of Computer Science, Columbia University. 在 cs.columbia.edu 的电子邮件经过验证 - Kexin Pei, Yinzhi Cao, Junfeng Yang, Suman Jana Deep learning (DL) systems are increasingly deployed in safety- and security-critical domains including self-driving cars and malware detection, where the correctness and predictability of a system's behavior for corner case inputs are of great importance. Kexin Pei, Yinzhi Cao, Junfeng Yang and Suman Jana, DeepXplore: Automated Whitebox Testing of Deep Learning Systems, in the Proceedings of the 26th ACM Symposium on Operating Systems Principles (SOSP), 2017 (39/232 = 16.8%, bib). We won best paper award of ACM SOSP 2017 for the DeepXplore paper.
Radionuclides for cancer theranostic have confronted problems such as limitation in real-time visualization and unsatisfactory therapeutic effect sacrificed by the nonspecific distribution. Nanoscale metal–organic frameworks (nMOFs) have been widely used in biomedical applications including cancer imaging and drug
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Haibo Hu, Jianliang Xu, Xizhong Xu, Kexin Pei, Byron Choi, Shuigeng Zhou. Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review. 15 Citations (Scopus) Overview; Abstract. [9] Kexin Pei, Yinzhi Cao, Junfeng Yang, and Suman Jana. Deepxplore: Automated whitebox testing of deep learning systems.
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Island Deaths. Receive Island death notifications daily by email. Oct 1, 2019 Kexin Pei discusses "DeepXplore: Automated Whitebox Testing of Deep Learning Systems" (https://cacm.acm.org/magazines/2019/11/240390)
Presentation on theme: "Suphannee Sivakorn, George Argyros, Kexin Pei, Angelos D"— Presentation transcript: 1 HVLearn: Automated Black-box Analysis of
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HERCULE: attack story reconstruction via community discovery on correlated log graph Kexin Pei, Zhongshu Gu, Brendan Saltaformaggio, ShiQing Ma, Fei Wang 0001, Zhiwei Zhang, Luo Si, Xiangyu Zhang, Dongyan Xu. acsac 2016: 583-595
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S Wang, K Pei, J Whitehouse, J Yang, S Jana. 27th {USENIX} Security Symposium ({USENIX} Security 18), 1599-1614, 2018. 185, 2018. Efficient formal safety
There are 9 professionals named "Kexin Pei", who use LinkedIn to exchange information, ideas, and opportunities. Kexin Pei Author page based on publicly available paper data.