SE4SafeML@SIGSOFT FSE - researchr conference series publications

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Viewing Publication 1 - 7 from 7

2023

Rule-Based Testing of Neural NetworksMuhammad Usman 0024, Youcheng Sun, Divya Gopinath, Corina S. Pasareanu. se4safeml 2023: 1-5 [doi]

Interpretable On-the-Fly Repair of Deep Neural ClassifiersHossein Mohasel Arjomandi, Reyhaneh Jabbarvand. se4safeml 2023: 14-17 [doi]

Towards Safe ML-Based Systems in Presence of Feedback LoopsSumon Biswas, Yining She, Eunsuk Kang. se4safeml 2023: 18-21 [doi]

Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components, SE4SafeML 2023, San Francisco, CA, USA, 4 December 2023Marsha Chechik, Sebastian G. Elbaum, Boyue Caroline Hu, Lina Marsso, Meriel von Stein, editors, ACM, 2023. [doi]

The Case for Scalable Quantitative Neural Network AnalysisMara Downing, Tevfik Bultan. se4safeml 2023: 22-25 [doi]

FedDefender: Backdoor Attack Defense in Federated LearningWaris Gill, Ali Anwar 0001, Muhammad Ali Gulzar. se4safeml 2023: 6-9 [doi]

MLGuard: Defend Your Machine Learning Model!Sheng Wong, Scott Barnett, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa. se4safeml 2023: 10-13 [doi]

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