• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 139 matches

• 2021
• 
  Jie Zhang, Cong Tian, Zhenhua Duan:
  An efficient approach for taint analysis of android applications. Comput. Secur. 104: 102161 (2021)
• 
  Manuel Benz, Erik Krogh Kristensen, Linghui Luo, Nataniel P. Borges Jr., Eric Bodden, Andreas Zeller:
  Heaps'n Leaks: How Heap Snapshots Improve Android Taint Analysis. Software Engineering 2021: 23-26
• 
  Nicholas Allen, François Gauthier, Alexander Jordan:
  IFDS Taint Analysis with Access Paths. CoRR abs/2103.16240 (2021)
• 2020
• 
  Mohammadreza Ashouri:
  TainTrap: a hybrid technique for vulnerability analysis in java. University of Potsdam, Germany, 2020, pp. 1-103
• 
  T. D. Ovasapyan, P. V. Knyazev, Dmitry A. Moskvin:
  Application of Taint Analysis to Study the Safety of Software of the Internet of Things Devices Based on the ARM Architecture. Autom. Control. Comput. Sci. 54(8): 834-840 (2020)
• 
  Wei You, Bin Liang, Wenchang Shi, Peng Wang, Xiangyu Zhang:
  TaintMan: An ART-Compatible Dynamic Taint Analysis Framework on Unmodified and Non-Rooted Android Devices. IEEE Trans. Dependable Secur. Comput. 17(1): 209-222 (2020)
• 
  Rezwana Karim, Frank Tip, Alena Sochurková, Koushik Sen:
  Platform-Independent Dynamic Taint Analysis for JavaScript. IEEE Trans. Software Eng. 46(12): 1364-1379 (2020)
• 
  John Galea, Daniel Kroening:
  The Taint Rabbit: Optimizing Generic Taint Analysis with Dynamic Fast Path Generation. AsiaCCS 2020: 622-636
• 
  María Óskarsdóttir, Jacky Mallett, Arnþór Logi Arnarson, Alexander Snær Stefánsson:
  Analysis of Tainted Transactions in the Bitcoin Blockchain Transaction Network. COMPLEX NETWORKS (2) 2020: 571-581
• 
  Manuel Benz, Erik Krogh Kristensen, Linghui Luo, Nataniel P. Borges, Eric Bodden, Andreas Zeller:
  Heaps'n leaks: how heap snapshots improve Android taint analysis. ICSE 2020: 1061-1072
• 
  Xiaoqin Fu, Haipeng Cai:
  Scaling application-level dynamic taint analysis to enterprise-scale distributed systems. ICSE (Companion Volume) 2020: 270-271
• 
  Jacob Kreindl, Daniele Bonetta, Lukas Stadler, David Leopoldseder, Hanspeter Mössenböck:
  Multi-language dynamic taint analysis in a polyglot virtual machine. MPLR 2020: 15-29
• 
  Florian D. Loch, Martin Johns, Martin Hecker, Martin Mohr, Gregor Snelting:
  Hybrid taint analysis for Java EE. SAC 2020: 1716-1725
• 
  Amit Kr Mandal, Pietro Ferrara, Yuliy Khlyebnikov, Agostino Cortesi, Fausto Spoto:
  Cross-program taint analysis for IoT systems. SAC 2020: 1944-1952
• 
  Felix Pauck, Eric Bodden, Heike Wehrheim:
  Reproducing Taint-Analysis Results with ReproDroid. SE 2020: 123-124
• 
  Jie Wang, Yunguang Wu, Gang Zhou, Yiming Yu, Zhenyu Guo, Yingfei Xiong:
  Scaling static taint analysis to industrial SOA applications: a case study at Alibaba. ESEC/SIGSOFT FSE 2020: 1477-1486
• 
  D. M. Lyons, S. Zahra:
  Using Taint Analysis and Reinforcement Learning (TARL) to Repair Autonomous Robot Software. SP Workshops 2020: 181-184
• 
  Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, Suman Jana:
  Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. IEEE Symposium on Security and Privacy 2020: 1527-1543
• 
  Pietro Ferrara, Luca Olivieri, Fausto Spoto:
  BackFlow: Backward Context-Sensitive Flow Reconstruction of Taint Analysis Results. VMCAI 2020: 23-43
• 
  D. M. Lyons, S. Zahra:
  Using Taint Analysis and Reinforcement Learning (TARL) to Repair Autonomous Robot Software. CoRR abs/2005.03813 (2020)
• 
  John Galea, Daniel Kroening:
  The Taint Rabbit: Optimizing Generic Taint Analysis with Dynamic Fast Path Generation. CoRR abs/2007.05955 (2020)
• 2019
• 
  Yuzhu Ren, Weiyu Dong, Jian Lin, Xinliang Miao:
  A Dynamic Taint Analysis Framework Based on Entity Equipment. IEEE Access 7: 186308-186318 (2019)
• 
  Pietro Ferrara, Amit Kr Mandal, Agostino Cortesi, Fausto Spoto:
  Cross-Programming Language Taint Analysis for the IoT Ecosystem. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 77 (2019)
• 
  Yuhei Kawakoya, Eitaro Shioji, Makoto Iwamura, Jun Miyoshi:
  API Chaser: Taint-Assisted Sandbox for Evasive Malware Analysis. J. Inf. Process. 27: 297-314 (2019)
• 
  Wontae Choi, Jayanthkumar Kannan, Domagoj Babic:
  A scalable, flow-and-context-sensitive taint analysis of android applications. J. Comput. Lang. 51: 1-14 (2019)
• 
  Jie Zhang, Cong Tian, Zhenhua Duan:
  FastDroid: efficient taint analysis for Android applications. ICSE (Companion Volume) 2019: 236-237
• 
  Ciprian Paduraru, Marius-Constantin Melemciuc, Bogdan Ghimis:
  Fuzz Testing with Dynamic Taint Analysis based Tools for Faster Code Coverage. ICSOFT 2019: 82-93
• 
  Dongjie He, Haofeng Li, Lei Wang, Haining Meng, Hengjie Zheng, Jie Liu, Shuangwei Hu, Lian Li, Jingling Xue:
  Performance-Boosting Sparsification of the IFDS Algorithm with Applications to Taint Analysis. ASE 2019: 267-279
• 
  Linghui Luo, Eric Bodden, Johannes Späth:
  A Qualitative Analysis of Android Taint-Analysis Results. ASE 2019: 102-114
• 
  Yongjian Hu, Oriana Riva, Suman Nath, Iulian Neamtiu:
  Elix: Path-Selective Taint Analysis for Extracting Mobile App Links. MobiSys 2019: 193-206

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