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NSDI
2008
14 years 12 months ago
Exploiting Machine Learning to Subvert Your Spam Filter
Using statistical machine learning for making security decisions introduces new vulnerabilities in large scale systems. This paper shows how an adversary can exploit statistical m...
Blaine Nelson, Marco Barreno, Fuching Jack Chi, An...
WMCSA
2008
IEEE
15 years 4 months ago
Making CAPTCHAs clickable
We show how to convert regular keyboard-entry CAPTCHAs into clickable CAPTCHAs. The goal of this conversion is to simplify and speed-up the entry of the CAPTCHA solution, to minim...
Richard Chow, Philippe Golle, Markus Jakobsson, Lu...
EPIA
2003
Springer
15 years 2 months ago
An Evolvable Rule-Based E-mail Agent
The Semantic Web is a “living organism”, which combines autonomously evolving data sources/knowledge repositories. This dynamic character of the Semantic Web requires (declarat...
José Júlio Alferes, Antonio Brogi, J...
CHINZ
2007
ACM
15 years 1 months ago
Users dealing with spam and spam filters: some observations and recommendations
The email communication system is threatened by unsolicited commercial email aka spam. In response, spam filters have been deployed widely to help reduce the amount of spam users ...
Christopher Lueg, Sam Martin
IDTRUST
2009
ACM
15 years 4 months ago
Usable secure mailing lists with untrusted servers
Mailing lists are a natural technology for supporting messaging in multi-party, cross-domain collaborative tasks. However, whenever sensitive information is exchanged on such list...
Rakeshbabu Bobba, Joe Muggli, Meenal Pant, Jim Bas...