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2020 – today
- 2024
[j9]Tae Eun Kim
, Jaeseung Choi, Seongjae Im, Kihong Heo, Sang Kil Cha:
Evaluating Directed Fuzzers: Are We Heading in the Right Direction? Proc. ACM Softw. Eng. 1(FSE): 316-337 (2024)- [c30]Hyungseok Kim, Soomin Kim, Jungwoo Lee, Sang Kil Cha:
AsFuzzer: Differential Testing of Assemblers with Error-Driven Grammar Inference. ISSTA 2024: 1099-1111 - [c29]Jung Hyun Kim, Steve Gustaman, Sang Kil Cha:
PoE: A Domain-Specific Language for Exploitation. SVCC 2024: 1-6 - 2023
- [j8]Marcel Böhme, Valentin J. M. Manès, Sang Kil Cha:
Boosting Fuzzer Efficiency: An Information Theoretic Perspective. Commun. ACM 66(11): 89-97 (2023) - [j7]Dongkwan Kim, Eunsoo Kim, Sang Kil Cha, Sooel Son, Yongdae Kim:
Revisiting Binary Code Similarity Analysis Using Interpretable Feature Engineering and Lessons Learned. IEEE Trans. Software Eng. 49(4): 1661-1682 (2023) - [c28]Haeun Lee, Hee Dong Yang, Su Geun Ji, Sang Kil Cha:
On the Effectiveness of Synthetic Benchmarks for Evaluating Directed Grey-Box Fuzzers. APSEC 2023: 11-20 - [c27]Soomin Kim, Hyungseok Kim, Sang Kil Cha:
FunProbe: Probing Functions from Binary Code through Probabilistic Analysis. ESEC/SIGSOFT FSE 2023: 1419-1430 - [c26]Minyeop Choi, Gihyuk Ko, Sang Kil Cha:
BotScreen: Trust Everybody, but Cut the Aimbots Yourself. USENIX Security Symposium 2023: 481-498 - [c25]Hyungseok Kim, Soomin Kim, Junoh Lee, Kangkook Jee, Sang Kil Cha:
Reassembly is Hard: A Reflection on Challenges and Strategies. USENIX Security Symposium 2023: 1469-1486 - [c24]Tae Eun Kim, Jaeseung Choi, Kihong Heo, Sang Kil Cha:
DAFL: Directed Grey-box Fuzzing guided by Data Dependency. USENIX Security Symposium 2023: 4931-4948 - 2022
- [c23]Hyungseok Kim, Junoh Lee, Soomin Kim, Seungil Jung, Sang Kil Cha:
How'd Security Benefit Reverse Engineers? : The Implication of Intel CET on Function Identification. DSN 2022: 559-566 - [c22]Haeun Lee, Soomin Kim, Sang Kil Cha:
Fuzzle: Making a Puzzle for Fuzzers. ASE 2022: 45:1-45:12 - 2021
- [j6]Sang-Ok Park, Ohmin Kwon, Yonggon Kim, Sang Kil Cha, Hyunsoo Yoon:
Mind control attack: Undermining deep learning with GPU memory exploitation. Comput. Secur. 102: 102115 (2021) - [j5]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) - [c21]Jaeseung Choi, Doyeon Kim, Soomin Kim, Gustavo Grieco, Alex Groce, Sang Kil Cha:
SMARTIAN: Enhancing Smart Contract Fuzzing with Static and Dynamic Data-Flow Analyses. ASE 2021: 227-239 - [c20]Jaeseung Choi, Kangsu Kim, Daejin Lee, Sang Kil Cha:
NtFuzz: Enabling Type-Aware Kernel Fuzzing on Windows with Static Binary Analysis. SP 2021: 677-693 - 2020
- [j4]Sang Kil Cha, Zhenkai Liang:
Asia's surging interest in binary analysis. Commun. ACM 63(4): 86-88 (2020) - [c19]Valentin J. M. Manès, Soomin Kim, Sang Kil Cha:
Ankou: guiding grey-box fuzzing towards combinatorial difference. ICSE 2020: 1024-1036 - [c18]Marcel Böhme, Valentin J. M. Manès, Sang Kil Cha:
Boosting fuzzer efficiency: an information theoretic perspective. ESEC/SIGSOFT FSE 2020: 678-689 - [c17]Suyoung Lee, HyungSeok Han, Sang Kil Cha, Sooel Son:
Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer. USENIX Security Symposium 2020: 2613-2630 - [i3]Suyoung Lee, HyungSeok Han, Sang Kil Cha, Sooel Son:
Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer. CoRR abs/2001.04107 (2020) - [i2]Dongkwan Kim, Eunsoo Kim, Sang Kil Cha, Sooel Son, Yongdae Kim:
Revisiting Binary Code Similarity Analysis using Interpretable Feature Engineering and Lessons Learned. CoRR abs/2011.10749 (2020)
2010 – 2019
- 2019
- [c16]Jaeseung Choi, Joonun Jang, Choongwoo Han, Sang Kil Cha:
Grey-box concolic testing on binary code. ICSE 2019: 736-747 - [c15]HyungSeok Han, DongHyeon Oh, Sang Kil Cha:
CodeAlchemist: Semantics-Aware Code Generation to Find Vulnerabilities in JavaScript Engines. NDSS 2019 - 2018
- [c14]Chanhee Lee, Changhoon Yoon, Seungwon Shin, Sang Kil Cha:
INDAGO: A New Framework For Detecting Malicious SDN Applications. ICNP 2018: 220-230 - [c13]SeongIl Wi, Jaeseung Choi, Sang Kil Cha:
Git-based CTF: A Simple and Effective Approach to Organizing In-Course Attack-and-Defense Security Competition. ASE @ USENIX Security Symposium 2018 - [c12]Jina Hong, JinKi Lee, HyunKyu Lee, YoonHa Chang, KwangHo Choi, Sang Kil Cha:
AlertVision: Visualizing Security Alerts. WISA 2018: 173-184 - [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) - 2017
- [c11]HyungSeok Han, Sang Kil Cha:
IMF: Inferred Model-based Fuzzer. CCS 2017: 2345-2358 - [c10]Soomin Kim, Markus Faerevaag, Minkyu Jung, Seungil Jung, DongYeop Oh, JongHyup Lee, Sang Kil Cha:
Testing intermediate representations for binary analysis. ASE 2017: 353-364 - 2016
- [j3]Thanassis Avgerinos, Alexandre Rebert, Sang Kil Cha, David Brumley:
Enhancing symbolic execution with veritesting. Commun. ACM 59(6): 93-100 (2016) - [c9]Weidong Cui, Marcus Peinado, Sang Kil Cha, Yanick Fratantonio, Vasileios P. Kemerlis:
RETracer: triaging crashes by reverse execution from partial memory dumps. ICSE 2016: 820-831 - 2015
- [c8]Sang Kil Cha, Maverick Woo, David Brumley:
Program-Adaptive Mutational Fuzzing. IEEE Symposium on Security and Privacy 2015: 725-741 - 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) - [c7]Thanassis Avgerinos, Alexandre Rebert, Sang Kil Cha, David Brumley:
Enhancing symbolic execution with veritesting. ICSE 2014: 1083-1094 - [c6]Alexandre Rebert, Sang Kil Cha, Thanassis Avgerinos, Jonathan Foote, David Warren, Gustavo Grieco, David Brumley:
Optimizing Seed Selection for Fuzzing. USENIX Security Symposium 2014: 861-875 - 2013
- [c5]Maverick Woo, Sang Kil Cha, Samantha Gottlieb, David Brumley:
Scheduling black-box mutational fuzzing. CCS 2013: 511-522 - 2012
- [c4]Sang Kil Cha, Thanassis Avgerinos, Alexandre Rebert, David Brumley:
Unleashing Mayhem on Binary Code. IEEE Symposium on Security and Privacy 2012: 380-394 - 2011
- [j1]Sang Kil Cha, Iulian Moraru, Jiyong Jang, John Truelove, David Brumley, David G. Andersen:
SplitScreen: Enabling efficient, distributed malware detection. J. Commun. Networks 13(2): 187-200 (2011) - [c3]Thanassis Avgerinos, Sang Kil Cha, Brent Lim Tze Hao, David Brumley:
AEG: Automatic Exploit Generation. NDSS 2011 - 2010
- [c2]Sang Kil Cha, Brian Pak, David Brumley, Richard Jay Lipton:
Platform-independent programs. CCS 2010: 547-558 - [c1]Sang Kil Cha, Iulian Moraru, Jiyong Jang, John Truelove, David Brumley, David G. Andersen:
SplitScreen: Enabling Efficient, Distributed Malware Detection. NSDI 2010: 377-390
Coauthor Index
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last updated on 2024-10-21 21:27 CEST by the dblp team
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