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ORCIDSE4SafeML@SIGSOFT FSE 2023: San Francisco, CA, USA
- Marsha Chechik, Sebastian G. Elbaum, Boyue Caroline Hu, Lina Marsso, Meriel von Stein:
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 2023. ACM 2023 - Muhammad Usman, Youcheng Sun, Divya Gopinath, Corina S. Pasareanu:
Rule-Based Testing of Neural Networks. 1-5 - Waris Gill, Ali Anwar, Muhammad Ali Gulzar:
FedDefender: Backdoor Attack Defense in Federated Learning. 6-9 - Sheng Wong, Scott Barnett
, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa:
MLGuard: Defend Your Machine Learning Model! 10-13 - Hossein Mohasel Arjomandi, Reyhaneh Jabbarvand:
Interpretable On-the-Fly Repair of Deep Neural Classifiers. 14-17 - Sumon Biswas, Yining She, Eunsuk Kang:
Towards Safe ML-Based Systems in Presence of Feedback Loops. 18-21 - Mara Downing, Tevfik Bultan:
The Case for Scalable Quantitative Neural Network Analysis. 22-25
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