Edward J. Schwartz

31 papers A* 11A 2Misc 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Human Study of Automatically Generated Decompiler Annotations. DSN Yuwei Yang, Skyler Grandel, Jeremy Lacomis, Edward J. Schwartz, Bogdan Vasilescu, Claire Le Goues, Kevin Leach
2025	J	`jnl`	Fast, Fine-Grained Equivalence Checking for Neural Decompilers. CoRR Luke Dramko, Claire Le Goues, Edward J. Schwartz
2025	J	`jnl`	Idioms: Neural Decompilation With Joint Code and Type Prediction. CoRR Luke Dramko, Claire Le Goues, Edward J. Schwartz
2025	—	`conf`	Quantifying and Mitigating the Impact of Obfuscations on Machine-Learning-Based Decompilation Improvement. DIMVA (1) Luke Dramko, Deniz Bölöni-Turgut, Claire Le Goues, Edward J. Schwartz
2024	A*	`conf`	A Taxonomy of C Decompiler Fidelity Issues. USENIX Security Symposium Luke Dramko, Jeremy Lacomis, Edward J. Schwartz, Bogdan Vasilescu, Claire Le Goues
2024	J	`jnl`	STRIDE: Simple Type Recognition In Decompiled Executables. CoRR Harrison Green, Edward J. Schwartz, Claire Le Goues, Bogdan Vasilescu
2023	J	`jnl`	DIRE and its Data: Neural Decompiled Variable Renamings with Respect to Software Class. ACM Trans. Softw. Eng. Methodol. Luke Dramko, Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Graham Neubig, Bogdan Vasilescu, Claire Le Goues
2022	A*	`conf`	Augmenting Decompiler Output with Learned Variable Names and Types. USENIX Security Symposium Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
2022	A*	`conf`	VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. ICSE Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues
2021	J	`jnl`	Augmenting Decompiler Output with Learned Variable Names and Types. CoRR Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
2021	J	`jnl`	Learning to Superoptimize Real-world Programs. CoRR Alex Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward J. Schwartz, Graham Neubig
2021	J	`jnl`	The Art, Science, and Engineering of Fuzzing: A Survey. IEEE Trans. Software Eng. Valentin J. M. Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J. Schwartz, Maverick Woo
2021	J	`jnl`	VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. CoRR Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues
2020	A*	`conf`	A Generic Technique for Automatically Finding Defense-Aware Code Reuse Attacks. CCS Edward J. Schwartz, Cory F. Cohen, Jeffrey Gennari, Stephanie Schwartz
2019	A*	`conf`	DIRE: A Neural Approach to Decompiled Identifier Naming. ASE Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
2019	J	`jnl`	DIRE: A Neural Approach to Decompiled Identifier Naming. CoRR Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
2018	—	`conf`	Executable Counterexamples in Software Model Checking. VSTTE Jeffrey Gennari, Arie Gurfinkel, Temesghen Kahsai, Jorge A. Navas, Edward J. Schwartz
2018	J	`jnl`	Fuzzing: Art, Science, and Engineering. CoRR Valentin J. M. Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J. Schwartz, Maverick Woo
2018	A	`conf`	Meaningful variable names for decompiled code: a machine translation approach. ICPC Alan Jaffe, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Bogdan Vasilescu
2018	—	`conf`	Statistical Machine Translation Is a Natural Fit for Automatic Identifier Renaming in Software Source Code. AAAI Workshops Jeremy Lacomis, Alan Jaffe, Edward J. Schwartz, Claire Le Goues, Bogdan Vasilescu
2018	A*	`conf`	Using Logic Programming to Recover C++ Classes and Methods from Compiled Executables. CCS Edward J. Schwartz, Cory F. Cohen, Michael Duggan, Jeffrey Gennari, Jeffrey S. Havrilla, Charles Hines
2016	—	`conf`	Can Knowledge of Technical Debt Help Identify Software Vulnerabilities? CSET @ USENIX Security Symposium Robert L. Nord, Ipek Ozkaya, Edward J. Schwartz, Forrest Shull, Rick Kazman
2014	—	`—`	Abstraction Recovery for Scalable Static Binary Analysis. Edward J. Schwartz
2014	J	`jnl`	Automatic exploit generation. Commun. ACM Thanassis Avgerinos, Sang Kil Cha, Alexandre Rebert, Edward J. Schwartz, Maverick Woo, David Brumley
2013	A*	`conf`	Native x86 Decompilation Using Semantics-Preserving Structural Analysis and Iterative Control-Flow Structuring. USENIX Security Symposium David Brumley, Jonghyup Lee, Edward J. Schwartz, Maverick Woo
2011	A*	`conf`	BAP: A Binary Analysis Platform. CAV David Brumley, Ivan Jager, Thanassis Avgerinos, Edward J. Schwartz
2011	A*	`conf`	Q: Exploit Hardening Made Easy. USENIX Security Symposium Edward J. Schwartz, Thanassis Avgerinos, David Brumley
2011	J	`jnl`	The Danger of Unrandomized Code. login Usenix Mag. Edward J. Schwartz
2010	A*	`conf`	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 Edward J. Schwartz, Thanassis Avgerinos, David Brumley
2010	A*	`conf`	Contractual Anonymity. NDSS Edward J. Schwartz, David Brumley, Jonathan M. McCune
2010	Misc	`conf`	How to model a TCP/IP network using only 20 parameters. WSC Kevin L. Mills, Edward J. Schwartz, Jian Yuan