CCS 2017 - Papers on Privacy policies
Privacy policies
Synthesis of Probabilistic Privacy Enforcement
Quantifying the Pressure of Legal Risks on Third-party Vulnerability Research
(University of California, San Diego), (University of California, San Diego), (University of California, San Diego), (University of California, San Diego)
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs
(Carnegie Mellon University), (Carnegie Mellon University), (Carnegie Mellon University), (Carnegie Mellon University), (Carnegie Mellon University)
FAME: Fast Attribute-based Message Encryption
Composing Differential Privacy and Secure Computation: A case study on scaling private record linkage