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Yaniv David
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2020 – today
- 2024
- [c8]Raphael J. Sofaer, Yaniv David, Mingqing Kang, Jianjia Yu, Yinzhi Cao, Junfeng Yang, Jason Nieh:
RogueOne: Detecting Rogue Updates via Differential Data-flow Analysis Using Trust Domains. ICSE 2024: 101:1-101:13 - [c7]Yaniv David, Neophytos Christou, Andreas D. Kellas, Vasileios P. Kemerlis, Junfeng Yang:
QUACK: Hindering Deserialization Attacks via Static Duck Typing. NDSS 2024 - 2022
- [c6]Yaniv David, Xudong Sun, Raphael J. Sofaer, Aditya Senthilnathan, Junfeng Yang, Zhiqiang Zuo, Guoqing Harry Xu, Jason Nieh, Ronghui Gu:
UPGRADVISOR: Early Adopting Dependency Updates Using Hybrid Program Analysis and Hardware Tracing. OSDI 2022: 751-767 - [c5]Kexin Pei, Dongdong She, Michael Wang, Scott Geng, Zhou Xuan, Yaniv David, Junfeng Yang, Suman Jana, Baishakhi Ray:
NeuDep: neural binary memory dependence analysis. ESEC/SIGSOFT FSE 2022: 747-759 - [i2]Kexin Pei, Dongdong She, Michael Wang, Scott Geng, Zhou Xuan, Yaniv David, Junfeng Yang, Suman Jana, Baishakhi Ray:
NeuDep: Neural Binary Memory Dependence Analysis. CoRR abs/2210.02853 (2022) - 2020
- [b1]Yaniv David:
Similarity in Binary Executables. Technion - Israel Institute of Technology, Israel, 2020 - [j1]Yaniv David, Uri Alon, Eran Yahav:
Neural reverse engineering of stripped binaries using augmented control flow graphs. Proc. ACM Program. Lang. 4(OOPSLA): 225:1-225:28 (2020)
2010 – 2019
- 2019
- [i1]Yaniv David, Uri Alon, Eran Yahav:
Neural Reverse Engineering of Stripped Binaries. CoRR abs/1902.09122 (2019) - 2018
- [c4]Yaniv David, Nimrod Partush, Eran Yahav:
FirmUp: Precise Static Detection of Common Vulnerabilities in Firmware. ASPLOS 2018: 392-404 - 2017
- [c3]Yaniv David, Nimrod Partush, Eran Yahav:
Similarity of binaries through re-optimization. PLDI 2017: 79-94 - 2016
- [c2]Yaniv David, Nimrod Partush, Eran Yahav:
Statistical similarity of binaries. PLDI 2016: 266-280 - 2014
- [c1]Yaniv David, Eran Yahav:
Tracelet-based code search in executables. PLDI 2014: 349-360
Coauthor Index
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last updated on 2024-09-26 01:54 CEST by the dblp team
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