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Goran Piskachev
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2020 – today
- 2024
- [c12]Oshando Johnson
, Goran Piskachev
Detecting Security-Relevant Methods using Multi-label Machine Learning. IDE@ICSE 2024: 101-106 - [i5]Oshando Johnson, Goran Piskachev, Ranjith Krishnamurthy
Detecting Security-Relevant Methods using Multi-label Machine Learning. CoRR abs/2403.07501 (2024) - 2023
- [j3]Goran Piskachev
Can the configuration of static analyses make resolving security vulnerabilities more effective? - A user study. Empir. Softw. Eng. 28(5): 118 (2023) - [c11]Ben Liblit, Linghui Luo
Shifting Left for Early Detection of Machine-Learning Bugs. FM 2023: 584-597 - [c10]Linghui Luo
Model Generation For Java Frameworks. ICST 2023: 165-175 - [c9]Subarno Banerjee
Compositional Taint Analysis for Enforcing Security Policies at Scale. ESEC/SIGSOFT FSE 2023: 1985-1996 - 2022
- [b1]Goran Piskachev:
Adapting taint analyses for detecting security vulnerabilities. University of Paderborn, Germany, 2022 - [j2]Linghui Luo
TaintBench: Automatic real-world malware benchmarking of Android taint analyses. Empir. Softw. Eng. 27(1): 16 (2022) - [j1]Goran Piskachev
Fluently specifying taint-flow queries with fluentTQL. Empir. Softw. Eng. 27(5): 104 (2022) - [c8]Ranjith Krishnamurthy
To what extent can we analyze Kotlin programs using existing Java taint analysis tools? SCAM 2022: 230-235 - [c7]Linghui Luo
TaintBench: Automatic Real-World Malware Benchmarking of Android Taint Analyses. Software Engineering 2022: 65-67 - [c6]Goran Piskachev, Stefan Dziwok, Thorsten Koch, Sven Merschjohann, Eric Bodden:
How far are German companies in improving security through static program analysis tools? SecDev 2022: 7-15 - [i4]Goran Piskachev, Johannes Späth, Ingo Budde, Eric Bodden:
Fluently specifying taint-flow queries with fluentTQL. CoRR abs/2204.03089 (2022) - [i3]Ranjith Krishnamurthy, Goran Piskachev, Eric Bodden:
To what extent can we analyze Kotlin programs using existing Java taint analysis tools? (Extended Version). CoRR abs/2207.09379 (2022) - [i2]Goran Piskachev, Stefan Dziwok, Thorsten Koch, Sven Merschjohann, Eric Bodden:
How far are German companies in improving security through static program analysis tools? CoRR abs/2208.06136 (2022) - 2021
- [c5]Goran Piskachev, Ranjith Krishnamurthy
SecuCheck: Engineering configurable taint analysis for software developers. SCAM 2021: 24-29 - 2020
- [c4]Lars Hermerschmidt, Andreas Straub, Goran Piskachev:
Language-agnostic Injection Detection. SP (Workshops) 2020: 268-275
2010 – 2019
- 2019
- [c3]Goran Piskachev, Tobias Petrasch, Johannes Späth, Eric Bodden:
AuthCheck: Program-State Analysis for Access-Control Vulnerabilities. FM Workshops (2) 2019: 557-572 - [c2]Goran Piskachev, Lisa Nguyen Quang Do, Eric Bodden:
Codebase-adaptive detection of security-relevant methods. ISSTA 2019: 181-191 - [c1]Goran Piskachev, Lisa Nguyen Quang Do, Oshando Johnson, Eric Bodden:
SWAN_ASSIST: Semi-Automated Detection of Code-Specific, Security-Relevant Methods. ASE 2019: 1094-1097 - [i1]Sriteja Kummita, Goran Piskachev:
Integration of the Static Analysis Results Interchange Format in CogniCrypt. CoRR abs/1907.02558 (2019)
Coauthor Index
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last updated on 2024-11-04 20:45 CET by the dblp team
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