Concept
Pretty Good Privacy
Publications associées (48)
Evaluating the Robustness of Privacy-Sensitive Audio Features for Speech Detection in Personal Audio Log Scenarios
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
Personal audio logs are often recorded in multiple environments. This poses challenges for robust front-end processing, including speech/nonspeech detection (SND). Motivated by this, we investigate the robustness of four different privacy-sensitive feature ...
Idiap2010Evaluating the Robustness of Privacy-Sensitive Audio Features for Speech Detection in Personal Audio Log Scenarios
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
Personal audio logs are often recorded in multiple environments. This poses challenges for robust front-end processing, including speech/nonspeech detection (SND). Motivated by this, we investigate the robustness of four different privacy-sensitive feature ...
2010Efficient Deniable Authentication for Signatures, Application to Machine-Readable Travel Document
Serge Vaudenay, Jean Monnerat, Sylvain Pasini
Releasing a classical digital signature faces to privacy issues. Indeed, there are cases where the prover needs to authenticate some data without making it possible for any malicious verifier to transfer the proof to anyone else. It is for instance the cas ...
Springer Berlin / Heidelberg2009Investigating Privacy-Sensitive Features for Speech Detection in Multiparty Conversations
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
We investigate four different privacy-sensitive features, namely energy, zero crossing rate, spectral flatness, and kurtosis, for speech detection in multiparty conversations. We liken this scenario to a meeting room and define our datasets and annotations ...
2009Investigating Privacy-Sensitive Features for Speech Detection in Multiparty Conversations
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
We investigate four different privacy-sensitive features, namely energy, zero crossing rate, spectral flatness, and kurtosis, for speech detection in multiparty conversations. We liken this scenario to a meeting room and define our datasets and annotations ...
Idiap2009Traceable Privacy of Recent Provably-Secure RFID Protocols
One of the main challenges in RFIDs is the design of privacy-preserving authentication protocols. Indeed, such protocols should not only allow legitimate readers to authenticate tags but also protect these latter from privacy-violating attacks, ensuring th ...
Springer2008On Privacy Models for RFID
We provide a formal model for identification schemes. Under this model, we give strong definitions for security and privacy. Our model captures the notion of a powerful adversary who can monitor all communications, trace tags within a limited period of tim ...
Springer-Verlag2007