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Breno Dantas Cruz
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Books and Theses
- 2021
- [b1]Breno Dantas Cruz:
Promoting Systematic Practices for Designing and Developing Edge Computing Applications via Middleware Abstractions and Performance Estimation. Virginia Tech, Blacksburg, VA, USA, 2021
Journal Articles
- 2023
- [j2]Yin Liu, Breno Dantas Cruz, Eli Tilevich:
Trusted and privacy-preserving sensor data onloading. Comput. Commun. 206: 133-151 (2023) - 2022
- [j1]Yin Liu, Breno Dantas Cruz, Eli Tilevich:
Secure and flexible message-based communication for mobile apps within and across devices. J. Syst. Softw. 193: 111460 (2022)
Conference and Workshop Papers
- 2023
- [c12]Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan:
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement. ICSE 2023: 1020-1032 - [c11]Shibbir Ahmed, Sayem Mohammad Imtiaz, Syeda Khairunnesa Samantha, Breno Dantas Cruz, Hridesh Rajan:
Design by Contract for Deep Learning APIs. ESEC/SIGSOFT FSE 2023: 94-106 - 2022
- [c10]Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan:
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. ICSE 2022: 561-572 - 2021
- [c9]Yin Liu, Breno Dantas Cruz, Eli Tilevich:
Privacy-Preserving Sharing of Mobile Sensor Data. MobiCASE 2021: 19-41 - [c8]Yin Liu, Breno Dantas Cruz, Eli Tilevich:
HTPD: Secure and Flexible Message-Based Communication for Mobile Apps. SecureComm (2) 2021: 273-294 - [c7]Manish Pandey, Breno Dantas Cruz, Minh Le, Young-Woo Kwon, Eli Tilevich:
Here, There, Anywhere: Profiling-Driven Services to Tame the Heterogeneity of Edge Applications. SMDS 2021: 61-71 - 2020
- [c6]Breno Dantas Cruz, Arnab Kumar Paul, Zheng Song, Eli Tilevich:
Stargazer: A Deep Learning Approach for Estimating the Performance of Edge- Based Clustering Applications. SMDS 2020: 9-17 - [c5]Breno Dantas Cruz, Junjie Cheng, Zheng Song, Eli Tilevich:
Understanding the Potential of Edge-Based Participatory Sensing: an Experimental Study. VTC Spring 2020: 1-5 - 2018
- [c4]Breno Dantas Cruz:
Programming support for data intensive distributed mobile applications at the edge. MOBILESoft@ICSE 2018: 37-38 - [c3]Breno Dantas Cruz, Eli Tilevich:
Intent to share: enhancing Android inter-component communication for distributed devices. MOBILESoft@ICSE 2018: 94-104 - 2017
- [c2]Breno Dantas Cruz, Bargav Jayaraman, Anurag Dwarakanath, Collin McMillan:
Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment. RE 2017: 233-242 - 2016
- [c1]Breno Dantas Cruz, Paul W. McBurney, Collin McMillan:
TraceLab Components for Reproducing Source Code Summarization Experiments. ICSME 2016: 610
Informal and Other Publications
- 2023
- [i5]Shibbir Ahmed, Mohammad Wardat, Hamid Bagheri, Breno Dantas Cruz, Hridesh Rajan:
Characterizing Bugs in Python and R Data Analytics Programs. CoRR abs/2306.08632 (2023) - [i4]Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan:
An Effective Data-Driven Approach for Localizing Deep Learning Faults. CoRR abs/2307.08947 (2023) - 2022
- [i3]Rangeet Pan, Sumon Biswas, Mohna Chakraborty, Breno Dantas Cruz, Hridesh Rajan:
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models. CoRR abs/2212.00105 (2022) - [i2]Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan:
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement. CoRR abs/2212.05970 (2022) - 2021
- [i1]Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan:
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. CoRR abs/2112.04036 (2021)
Coauthor Index
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