Saahil Ognawala

According to our database, Saahil Ognawala authored at least 13 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings.

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

CoRR, 2024

2020

Scalable Greybox Fuzzing for Effective Vulnerability Management.

Saahil Ognawala

PhD thesis, 2020

2019

Compositional Fuzzing Aided by Targeted Symbolic Execution.

Saahil Ognawala, Fabian Kilger, Alexander Pretschner

CoRR, 2019

2018

Reviewing KLEE's Sonar-Search Strategy in Context of Greybox Fuzzing.

Saahil Ognawala, Alexander Pretschner, Thomas Hutzelmann, Eirini Psallida, Ricardo Nales Amato

CoRR, 2018

Improving function coverage with munch: a hybrid fuzzing and directed symbolic execution approach.

Saahil Ognawala, Thomas Hutzelmann, Eirini Psallida, Alexander Pretschner

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Automatically assessing vulnerabilities discovered by compositional analysis.

Saahil Ognawala, Ricardo Nales Amato, Alexander Pretschner, Pooja Kulkarni

Proceedings of the 1st International Workshop on Machine Learning and Software Engineering in Symbiosis, 2018

2017

An Exploratory Survey of Hybrid Testing Techniques Involving Symbolic Execution and Fuzzing.

Saahil Ognawala, Ana Petrovska, Kristian Beckers

CoRR, 2017

2016

ML-based tactile sensor calibration: A universal approach.

Maximilian Karl, Artur Lohrer, Dhananjay Shah, Frederik Diehl, Max Fiedler, Saahil Ognawala, Justin Bayer, Patrick van der Smagt

CoRR, 2016

MACKE: compositional analysis of low-level vulnerabilities with symbolic execution.

Saahil Ognawala, Martín Ochoa, Alexander Pretschner, Tobias Limmer

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

2015

Illumination Compensation and Normalization Using Low-Rank Decomposition of Multispectral Images in Dermatology.

Alexandru Duliu, Richard Brosig, Saahil Ognawala, Tobias Lasser, Mahzad Ziai, Nassir Navab

Proceedings of the Information Processing in Medical Imaging, 2015

Fast Feedback Cycles in Empirical Software Engineering Research.

Antonio Vetrò, Saahil Ognawala, Daniel Méndez Fernández, Stefan Wagner

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014

Regularizing Recurrent Networks - On Injected Noise and Norm-based Methods.

Saahil Ognawala, Justin Bayer

CoRR, 2014

Where do we stand in requirements engineering improvement today?: first results from a mapping study.

Daniel Méndez Fernández, Saahil Ognawala, Stefan Wagner, Maya Daneva

Proceedings of the 2014 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2014