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Edward J. Schwartz
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2020 – today
- 2024
- [c16]Luke Dramko, Jeremy Lacomis, Edward J. Schwartz, Bogdan Vasilescu, Claire Le Goues:
A Taxonomy of C Decompiler Fidelity Issues. USENIX Security Symposium 2024 - [i6]Harrison Green, Edward J. Schwartz, Claire Le Goues, Bogdan Vasilescu:
STRIDE: Simple Type Recognition In Decompiled Executables. CoRR abs/2407.02733 (2024) - 2023
- [j4]Luke Dramko, Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
DIRE and its Data: Neural Decompiled Variable Renamings with Respect to Software Class. ACM Trans. Softw. Eng. Methodol. 32(2): 39:1-39:34 (2023) - 2022
- [c15]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. ICSE 2022: 2327-2339 - [c14]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
Augmenting Decompiler Output with Learned Variable Names and Types. USENIX Security Symposium 2022: 4327-4343 - 2021
- [j3]Valentin J. M. Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J. Schwartz, Maverick Woo:
The Art, Science, and Engineering of Fuzzing: A Survey. IEEE Trans. Software Eng. 47(11): 2312-2331 (2021) - [i5]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
Augmenting Decompiler Output with Learned Variable Names and Types. CoRR abs/2108.06363 (2021) - [i4]Alex Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward J. Schwartz, Graham Neubig:
Learning to Superoptimize Real-world Programs. CoRR abs/2109.13498 (2021) - [i3]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. CoRR abs/2112.02650 (2021) - 2020
- [c13]Edward J. Schwartz, Cory F. Cohen, Jeffrey Gennari, Stephanie Schwartz:
A Generic Technique for Automatically Finding Defense-Aware Code Reuse Attacks. CCS 2020: 1789-1801
2010 – 2019
- 2019
- [c12]Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
DIRE: A Neural Approach to Decompiled Identifier Naming. ASE 2019: 628-639 - [i2]Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
DIRE: A Neural Approach to Decompiled Identifier Naming. CoRR abs/1909.09029 (2019) - 2018
- [c11]Jeremy Lacomis, Alan Jaffe, Edward J. Schwartz, Claire Le Goues, Bogdan Vasilescu:
Statistical Machine Translation Is a Natural Fit for Automatic Identifier Renaming in Software Source Code. AAAI Workshops 2018: 771-774 - [c10]Edward J. Schwartz, Cory F. Cohen, Michael Duggan, Jeffrey Gennari, Jeffrey S. Havrilla, Charles Hines:
Using Logic Programming to Recover C++ Classes and Methods from Compiled Executables. CCS 2018: 426-441 - [c9]Alan Jaffe, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Bogdan Vasilescu:
Meaningful variable names for decompiled code: a machine translation approach. ICPC 2018: 20-30 - [c8]Jeffrey Gennari, Arie Gurfinkel, Temesghen Kahsai, Jorge A. Navas, Edward J. Schwartz:
Executable Counterexamples in Software Model Checking. VSTTE 2018: 17-37 - [i1]Valentin J. M. Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J. Schwartz, Maverick Woo:
Fuzzing: Art, Science, and Engineering. CoRR abs/1812.00140 (2018) - 2016
- [c7]Robert L. Nord, Ipek Ozkaya, Edward J. Schwartz, Forrest Shull, Rick Kazman:
Can Knowledge of Technical Debt Help Identify Software Vulnerabilities? CSET @ USENIX Security Symposium 2016 - 2014
- [b1]Edward J. Schwartz:
Abstraction Recovery for Scalable Static Binary Analysis. Carnegie Mellon University, USA, 2014 - [j2]Thanassis Avgerinos, Sang Kil Cha, Alexandre Rebert, Edward J. Schwartz, Maverick Woo, David Brumley:
Automatic exploit generation. Commun. ACM 57(2): 74-84 (2014) - 2013
- [c6]David Brumley, JongHyup Lee, Edward J. Schwartz, Maverick Woo:
Native x86 Decompilation Using Semantics-Preserving Structural Analysis and Iterative Control-Flow Structuring. USENIX Security Symposium 2013: 353-368 - 2011
- [j1]Edward J. Schwartz:
The Danger of Unrandomized Code. login Usenix Mag. 36(6) (2011) - [c5]David Brumley, Ivan Jager, Thanassis Avgerinos, Edward J. Schwartz:
BAP: A Binary Analysis Platform. CAV 2011: 463-469 - [c4]Edward J. Schwartz, Thanassis Avgerinos, David Brumley:
Q: Exploit Hardening Made Easy. USENIX Security Symposium 2011 - 2010
- [c3]Edward J. Schwartz, David Brumley, Jonathan M. McCune:
Contractual Anonymity. NDSS 2010 - [c2]Edward J. Schwartz, Thanassis Avgerinos, David Brumley:
All You Ever Wanted to Know about Dynamic Taint Analysis and Forward Symbolic Execution (but Might Have Been Afraid to Ask). IEEE Symposium on Security and Privacy 2010: 317-331 - [c1]Kevin L. Mills, Edward J. Schwartz, Jian Yuan:
How to model a TCP/IP network using only 20 parameters. WSC 2010: 849-860
Coauthor Index
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