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Philippe Golle

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Publication statistics

Pub. period:2005-2009
Pub. count:5
Number of co-authors:4

Co-authors

Number of publications with 3 favourite co-authors:

Nicolas Ducheneaut:2
Ayman Farahat:1
Kurt Partridge:1

Productive colleagues

Philippe Golle's 3 most productive colleagues in number of publications:

Nicolas Ducheneaut:29
Kurt Partridge:14
Ayman Farahat:6

Calendar

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 28

Graphics Interface 2013

May 29

Boston UXPA Usability and UX Conf. 2013

May 25

“ Civilization advances by extending the number of important operations which we can perform without thinking of them. ”

-- Alfred North Whitehead

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Philippe Golle

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Publications by Philippe Golle (bibliography)

2009

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Golle, Philippe (2009): Machine learning attacks against the Asirra CAPTCHA. In: Proceedings of the 2009 Symposium on Usable Privacy and Security 2009. p. 45.

2008

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Partridge, Kurt and Golle, Philippe (2008): On using existing time-use study data for ubiquitous computing applications. In: Youn, Hee Yong and Cho, We-Duke (eds.) UbiComp 2008 Ubiquitous Computing - 10th International Conference September 21-24, 2008, Seoul, Korea. pp. 144-153.

2005

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Golle, Philippe and Ducheneaut, Nicolas (2005): Keeping bots out of online games. In: Lee, Newton (ed.) Proceedings of the International Conference on Advances in Computer Entertainment Technology - ACE 2005 June 15-15, 2005, Valencia, Spain. pp. 262-265.

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Korolova, Aleksandra, Farahat, Ayman and Golle, Philippe (2005): Enhancing the privacy of web-based communication. In: Proceedings of the 2005 International Conference on the World Wide Web 2005. pp. 1096-1097.

“A profiling adversary is an adversary whose goal is to classify a population of users into categories according to messages they exchange. This adversary models the most common privacy threat against web based communication. We propose a new encryption scheme, called stealth encryption, that protects users from profiling attacks by concealing the semantic content of plaintext while preserving its grammatical structure and other non-semantic linguistic features, such as word frequency distribution. Given English plaintext, stealth encryption produces ciphertext that cannot efficiently be distinguished from normal English text (our techniques apply to other languages as well).”

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Golle, Philippe and Ducheneaut, Nicolas (2005): Preventing bots from playing online games. In Computers in Entertainment, 3 (3) p. 3.

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