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2020 – today
- 2024
[c37]Matías F. Gobbi, Johannes Kinder:
GENIE: Guarding the npm Ecosystem with Semantic Malware Detection. SecDev 2024: 117-128- [i8]Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi
, Lorenzo Cavallaro:
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version). CoRR abs/2402.01359 (2024) - [i7]Tristan Benoit, Yunru Wang, Moritz Dannehl, Johannes Kinder:
BLens: Contrastive Captioning of Binary Functions using Ensemble Embedding. CoRR abs/2409.07889 (2024) - 2023
- [j4]Lorenzo Cavallaro, Johannes Kinder, Feargus Pendlebury, Fabio Pierazzi:
Are Machine Learning Models for Malware Detection Ready for Prime Time? IEEE Secur. Priv. 21(2): 53-56 (2023) - [c36]Matías F. Gobbi, Johannes Kinder:
Poster: Using CodeQL to Detect Malware in npm. CCS 2023: 3519-3521 - [c35]Christopher Lenk, Johannes Kinder:
Poster: Privacy Risks from Misconfigured Android Content Providers. CCS 2023: 3579-3581 - [c34]Fabian Niklas Froh, Matías Federico Gobbi, Johannes Kinder:
Differential Static Analysis for Detecting Malicious Updates to Open Source Packages. SCORED@CCS 2023: 41-49 - [c33]James Patrick-Evans, Moritz Dannehl, Johannes Kinder:
XFL: Naming Functions in Binaries with Extreme Multi-label Learning. SP 2023: 2375-2390 - 2022
- [c32]Hernán Ponce de León, Johannes Kinder:
Cats vs. Spectre: An Axiomatic Approach to Modeling Speculative Execution Attacks. SP 2022: 235-248 - 2021
- [i6]James Patrick-Evans, Moritz Dannehl, Johannes Kinder:
XFL: eXtreme Function Labeling. CoRR abs/2107.13404 (2021) - [i5]Blake Loring, Johannes Kinder:
Systematic Generation of Conformance Tests for JavaScript. CoRR abs/2108.07075 (2021) - [i4]Hernán Ponce de León, Johannes Kinder:
Cats vs. Spectre: An Axiomatic Approach to Modeling Speculative Execution Attacks. CoRR abs/2108.13818 (2021) - 2020
- [c31]James Patrick-Evans, Lorenzo Cavallaro, Johannes Kinder:
Probabilistic Naming of Functions in Stripped Binaries. ACSAC 2020: 373-385 - [c30]Daniel Lehmann, Johannes Kinder, Michael Pradel:
Everything Old is New Again: Binary Security of WebAssembly. USENIX Security Symposium 2020: 217-234
2010 – 2019
- 2019
- [c29]Duncan Mitchell, Johannes Kinder:
A Formal Model for Checking Cryptographic API Usage in JavaScript. ESORICS (1) 2019: 341-360 - [c28]Blake Loring, Duncan Mitchell, Johannes Kinder:
Sound regular expression semantics for dynamic symbolic execution of JavaScript. PLDI 2019: 425-438 - [c27]Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro:
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. USENIX Security Symposium 2019: 729-746 - [e5]Lorenzo Cavallaro, Johannes Kinder, XiaoFeng Wang, Jonathan Katz:
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, CCS 2019, London, UK, November 11-15, 2019. ACM 2019, ISBN 978-1-4503-6747-9 [contents] - [e4]Lorenzo Cavallaro, Johannes Kinder, Sadia Afroz, Battista Biggio, Nicholas Carlini, Yuval Elovici, Asaf Shabtai:
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, AISec@CCS 2019, London, UK, November 15, 2019. ACM 2019, ISBN 978-1-4503-6833-9 [contents] - [e3]Lorenzo Cavallaro, Johannes Kinder, Thorsten Holz:
Proceedings of the ACM Workshop on Cyber-Physical Systems Security & Privacy, CPS-SPC@CCS 2019, London, UK, November 11, 2019. ACM 2019, ISBN 978-1-4503-6831-5 [contents] - [e2]Lorenzo Cavallaro, Johannes Kinder, Adam Doupé, Zhiqiang Lin:
Proceedings of the 3rd ACM Workshop on Forming an Ecosystem Around Software Transformation, CCS 2019, London, United Kingdom, November 11-15, 2019. ACM 2019, ISBN 978-1-4503-6834-6 [contents] - [e1]Lorenzo Cavallaro, Johannes Kinder, Josep Domingo-Ferrer:
Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society, WPES@CCS 2019, London, UK, November 11, 2019. ACM 2019, ISBN 978-1-4503-6830-8 [contents] - 2018
- [c26]Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro:
Enabling Fair ML Evaluations for Security. CCS 2018: 2264-2266 - [c25]Duncan Mitchell, L. Thomas van Binsbergen, Blake Loring, Johannes Kinder:
Checking cryptographic API usage with composable annotations (short paper). PEPM 2018: 53-59 - [c24]Claudio Rizzo, Lorenzo Cavallaro, Johannes Kinder:
BabelView: Evaluating the Impact of Code Injection Attacks in Mobile Webviews. RAID 2018: 25-46 - [i3]Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro:
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. CoRR abs/1807.07838 (2018) - [i2]Blake Loring, Duncan Mitchell, Johannes Kinder:
Sound Regular Expression Semantics for Dynamic Symbolic Execution of JavaScript. CoRR abs/1810.05661 (2018) - 2017
- [c23]Dusan Repel, Johannes Kinder, Lorenzo Cavallaro:
Modular Synthesis of Heap Exploits. PLAS@CCS 2017: 25-35 - [c22]Guillermo Suarez-Tangil, Santanu Kumar Dash, Mansour Ahmadi, Johannes Kinder, Giorgio Giacinto, Lorenzo Cavallaro:
DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware. CODASPY 2017: 309-320 - [c21]Blake Loring, Duncan Mitchell, Johannes Kinder:
ExpoSE: practical symbolic execution of standalone JavaScript. SPIN 2017: 196-199 - [c20]James Patrick-Evans, Lorenzo Cavallaro, Johannes Kinder:
POTUS: Probing Off-The-Shelf USB Drivers with Symbolic Fault Injection. WOOT 2017 - [i1]Claudio Rizzo, Lorenzo Cavallaro, Johannes Kinder:
BabelView: Evaluating the Impact of Code Injection Attacks in Mobile Webviews. CoRR abs/1709.05690 (2017) - 2016
- [j3]Sebastian Schrittwieser, Stefan Katzenbeisser, Johannes Kinder, Georg Merzdovnik, Edgar R. Weippl:
Protecting Software through Obfuscation: Can It Keep Pace with Progress in Code Analysis? ACM Comput. Surv. 49(1): 4:1-4:37 (2016) - [c19]Santanu Kumar Dash, Guillermo Suarez-Tangil, Salahuddin J. Khan, Kimberly Tam, Mansour Ahmadi, Johannes Kinder, Lorenzo Cavallaro:
DroidScribe: Classifying Android Malware Based on Runtime Behavior. IEEE Symposium on Security and Privacy Workshops 2016: 252-261 - 2015
- [c18]Jonas Wagner, Volodymyr Kuznetsov, George Candea, Johannes Kinder:
High System-Code Security with Low Overhead. IEEE Symposium on Security and Privacy 2015: 866-879 - 2014
- [c17]Stefan Bucur, Johannes Kinder, George Candea:
Prototyping symbolic execution engines for interpreted languages. ASPLOS 2014: 239-254 - [c16]Johannes Kinder:
Efficient symbolic execution for software testing. FMCAD 2014: 5 - [c15]Johannes Kinder:
Tutorial I: Efficient symbolic execution for software testing. MEMOCODE 2014: 231 - [c14]Volodymyr Kuznetsov, Johannes Kinder, Stefan Bucur, George Candea:
Efficient State Merging in Symbolic Execution. Software Engineering 2014: 45-46 - 2013
- [c13]Stefan Bucur, Johannes Kinder, George Candea:
Making automated testing of cloud applications an integral component of PaaS. APSys 2013: 18:1-18:7 - [c12]Cristian Zamfir, Baris Kasikci, Johannes Kinder, Edouard Bugnion, George Candea:
Automated Debugging for Arbitrarily Long Executions. HotOS 2013 - 2012
- [c11]Volodymyr Kuznetsov, Johannes Kinder, Stefan Bucur, George Candea:
Efficient state merging in symbolic execution. PLDI 2012: 193-204 - [c10]Johannes Kinder, Dmitry Kravchenko:
Alternating Control Flow Reconstruction. VMCAI 2012: 267-282 - [c9]Johannes Kinder:
Towards Static Analysis of Virtualization-Obfuscated Binaries. WCRE 2012: 61-70 - 2011
- [c8]Péter Bokor, Johannes Kinder, Marco Serafini, Neeraj Suri:
Efficient model checking of fault-tolerant distributed protocols. DSN 2011: 73-84 - [c7]Péter Bokor, Johannes Kinder, Marco Serafini, Neeraj Suri:
Supporting domain-specific state space reductions through local partial-order reduction. ASE 2011: 113-122 - [r1]Stefan Katzenbeisser, Johannes Kinder, Helmut Veith:
Malware Detection. Encyclopedia of Cryptography and Security (2nd Ed.) 2011: 752-755 - 2010
- [b1]Johannes Kinder:
Static analysis of x86 executables (Statische Analyse von Programmen in x86-Maschinensprache). Darmstadt University of Technology, 2010, pp. 1-199 - [j2]Johannes Kinder, Stefan Katzenbeisser, Christian Schallhart, Helmut Veith:
Proactive Detection of Computer Worms Using Model Checking. IEEE Trans. Dependable Secur. Comput. 7(4): 424-438 (2010) - [c6]Johannes Kinder, Helmut Veith:
Precise static analysis of untrusted driver binaries. FMCAD 2010: 43-50 - [c5]Patrice Godefroid, Johannes Kinder:
Proving memory safety of floating-point computations by combining static and dynamic program analysis. ISSTA 2010: 1-12
2000 – 2009
- 2009
- [c4]Johannes Kinder, Florian Zuleger, Helmut Veith:
An Abstract Interpretation-Based Framework for Control Flow Reconstruction from Binaries. VMCAI 2009: 214-228 - 2008
- [c3]Johannes Kinder, Helmut Veith:
Jakstab: A Static Analysis Platform for Binaries. CAV 2008: 423-427 - 2007
- [j1]Mihai Christodorescu, Somesh Jha, Johannes Kinder, Stefan Katzenbeisser, Helmut Veith:
Software transformations to improve malware detection. J. Comput. Virol. 3(4): 253-265 (2007) - [c2]Andreas Holzer, Johannes Kinder, Helmut Veith:
Using Verification Technology to Specify and Detect Malware. EUROCAST 2007: 497-504 - 2005
- [c1]Johannes Kinder, Stefan Katzenbeisser, Christian Schallhart, Helmut Veith:
Detecting Malicious Code by Model Checking. DIMVA 2005: 174-187
Coauthor Index
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last updated on 2024-11-21 20:30 CET by the dblp team
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