Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
We present two projects that facilitate collective music creativity over networks. One system is a participative social music system on mobile devices. The other is a collaborativ...
Intrusion Prevention Systems (IPSs) have long been proposed as a defense against attacks that propagate too fast for any manual response to be useful. In an important class of IPS...
The aggregation of conflicting preferences is a central problem in multiagent systems. The key difficulty is that the agents may report their preferences insincerely. Mechanism ...
Virtual agents designed to establish relationships with more than one user must be able to identify and distinguish among those users with high reliability. We descr...
Daniel Schulman, Mayur Sharma, Timothy W. Bickmore