Nedim Šrndić

Background

  • since December 2010: Research Assistant at the Cognitive Systems department, University of Tübingen
  • 2008 - 2010: Master of Electrical Engineering, Department of Computer Science, Faculty of Electrical Engineering in Sarajevo
  • 2005 - 2008: Bachelor of Electrical Engineering, Department of Computer Science, Faculty of Electrical Engineering in Sarajevo

 

Research Interests

  • Document Format Security
  • Security of Machine Learning

 

Current Projects

  • Detection of malware embedded in Flash (SWF) files

 

Previous Projects

You can find the project descriptions and links to source code on my research page.

 

Publications

Note: my last name in LaTeX: \v{S}rndi\'{c}


  • Nedim Šrndić, Pavel Laskov. Practical Evasion of a Learning-Based Classifier: A Case Study. In IEEE Symposium on Security and Privacy (IEEE S&P), 2014. [PDF]
  • Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Šrndić, Pavel Laskov, Giorgio Giacinto, Fabio Roli. Evasion Attacks Against Machine Learning at Test Time. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2013. [PDF]
  • Nedim Šrndić, Pavel Laskov. Detection of Malicious PDF Files Based on Hierarchical Document Structure. In Network and Distributed System Security Symposium (NDSS), 2013. [link]
  • Pavel Laskov, Nedim Šrndić. Static Detection of Malicious JavaScript-Bearing PDF Documents. In Annual Computer Security Applications Conference (ACSAC), 2011. [link, link]
  • Nedim Šrndić, Emir Pandžo, Mirza Dervišević, Samim Konjicija. The application of a Parallel Genetic Algorithm to timetabling of elementary school classes: A coarse-grained approach. In XXII International Symposium on Information, Communication and Automation Technologies (ICAT), 2009. [link]

 

Address, Phone, Fax, Email

Eberhard-Karls-Universität Tübingen
Wilhelm-Schickard-Institut für Informatik
Lehrstuhl Kognitive Systeme
Sand 1
D - 72076 Tübingen
 
Germany

Tel: (+49/0) 7071 / 29 77175
Fax: (+49/0) 7071 / 29 5091
Email: