Saahil Ognawala

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 12

Top Venues

CoRR

ICSE (2)

ESEM

IPMI

Technical University of Munich, Germany (PHD)

Education History

Technical University of Munich, Germany

PHD

Publications

Isabelle Mohr, Markus Krimmel, Saba Sturua, Mohammad Kalim Akram, Andreas Koukounas, Michael Günther, Georgios Mastrapas, Vinit Ravishankar, Joan Fontanals Martínez, Feng Wang, Qi Liu, Ziniu Yu, Jie Fu, Saahil Ognawala, Susana Guzman, Bo Wang, Maximilian Werk, Nan Wang, Han Xiao
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings. CoRR (2024)
Andreas Koukounas, Georgios Mastrapas, Michael Günther, Bo Wang, Scott Martens, Isabelle Mohr, Saba Sturua, Mohammad Kalim Akram, Joan Fontanals Martínez, Saahil Ognawala, Susana Guzman, Maximilian Werk, Nan Wang, Han Xiao
Jina CLIP: Your CLIP Model Is Also Your Text Retriever. CoRR (2024)
Saahil Ognawala, Fabian Kilger, Alexander Pretschner
Compositional Fuzzing Aided by Targeted Symbolic Execution. CoRR (2019)
Saahil Ognawala, Ricardo Nales Amato, Alexander Pretschner, Pooja Kulkarni
Automatically assessing vulnerabilities discovered by compositional analysis. MASES@ASE (2018)
Saahil Ognawala, Ricardo Nales Amato, Alexander Pretschner, Pooja Kulkarni
Automatically Assessing Vulnerabilities Discovered by Compositional Analysis. CoRR (2018)
Saahil Ognawala, Thomas Hutzelmann, Eirini Psallida, Alexander Pretschner
Improving function coverage with munch: a hybrid fuzzing and directed symbolic execution approach. SAC (2018)
Saahil Ognawala, Alexander Pretschner, Thomas Hutzelmann, Eirini Psallida, Ricardo Nales Amato
Reviewing KLEE's Sonar-Search Strategy in Context of Greybox Fuzzing. CoRR (2018)
Saahil Ognawala, Ana Petrovska, Kristian Beckers
An Exploratory Survey of Hybrid Testing Techniques Involving Symbolic Execution and Fuzzing. CoRR (2017)
Daniel Méndez Fernández, Saahil Ognawala, Stefan Wagner, Maya Daneva
Where do we stand in requirements engineering improvement today? First results from a mapping study. CoRR (2017)
Saahil Ognawala, Thomas Hutzelmann, Eirini Psallida, Alexander Pretschner
Improving Function Coverage with Munch: A Hybrid Fuzzing and Directed Symbolic Execution Approach. CoRR (2017)
Maximilian Karl, Artur Lohrer, Dhananjay Shah, Frederik Diehl, Max Fiedler, Saahil Ognawala, Justin Bayer, Patrick van der Smagt
ML-based tactile sensor calibration: A universal approach. CoRR (2016)
Saahil Ognawala, Martín Ochoa, Alexander Pretschner, Tobias Limmer
MACKE: compositional analysis of low-level vulnerabilities with symbolic execution. ASE (2016)
Antonio Vetrò, Saahil Ognawala, Daniel Méndez Fernández, Stefan Wagner
Fast Feedback Cycles in Empirical Software Engineering Research. ICSE (2) (2015)
Alexandru Duliu, Richard Brosig, Saahil Ognawala, Tobias Lasser, Mahzad Ziai, Nassir Navab
Illumination Compensation and Normalization Using Low-Rank Decomposition of Multispectral Images in Dermatology. IPMI (2015)
Daniel Méndez Fernández, Saahil Ognawala, Stefan Wagner, Maya Daneva
Where do we stand in requirements engineering improvement today?: first results from a mapping study. ESEM (2014)
Saahil Ognawala, Justin Bayer
Regularizing Recurrent Networks - On Injected Noise and Norm-based Methods. CoRR (2014)

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Publication Activity (10 Years)

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Saahil Ognawala