Keeping Secrets: Multi-objective Genetic Improvement for Detecting and Reducing Information Leakage

Author:

Mesecan Ibrahim1ORCID,Blackwell Daniel2ORCID,Clark David2ORCID,Cohen Myra3ORCID,Petke Justyna2ORCID

Affiliation:

1. Iowa State University, USA

2. University College London, United Kingdom

3. Iowa State University, United States of America

Funder

National Science Foundation

Engineering and Physical Sciences Research Council

Publisher

ACM

Reference47 articles.

1. [ 1 ] 2022. https://github.com/LavaOps/LeakReducer/. [1] 2022. https://github.com/LavaOps/LeakReducer/.

2. AFL 2022. American Fuzzy Lop plus plus (AFL++). https://github.com/AFLplusplus/AFLplusplus. Accessed: 2022-05-22. AFL 2022. American Fuzzy Lop plus plus (AFL++). https://github.com/AFLplusplus/AFLplusplus. Accessed: 2022-05-22.

3. Johan Agat . 2020 . Transforming Out Timing Leaks. In POPL 2000, Proceedings of the 27th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages , Boston, Massachusetts, USA , January 19-21, 2000, Mark N. Wegman and Thomas W. Reps (Eds.). ACM. Johan Agat. 2020. Transforming Out Timing Leaks. In POPL 2000, Proceedings of the 27th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, Boston, Massachusetts, USA, January 19-21, 2000, Mark N. Wegman and Thomas W. Reps (Eds.). ACM.

4. M. S. Alvim K. Chatzikokolakis A. McIver C. Morgan C. Palamidessi and G. Smith. 2020. The Science of Quantitative Information Flow. Springer. M. S. Alvim K. Chatzikokolakis A. McIver C. Morgan C. Palamidessi and G. Smith. 2020. The Science of Quantitative Information Flow. Springer.

5. PyGGI 2.0: language independent genetic improvement framework

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