Traditional classification algorithms assume that training and test data come from similar distributions. This assumption is violated in adversarial settings, where malicious actors modify instances to evade detection. A number of custom methods have been developed for both adversarial evasion attacks and robust learning. We propose the first systematic and general-purpose retraining framework ...

PURPOSE/OBJECTIVES To describe women's unexpected and distressing symptom experiences after breast cancer treatment. RESEARCH APPROACH Qualitative and descriptive. SETTING Depending upon their preference, participants were interviewed in their homes or in a private office space in a nearby library. PARTICIPANTS Purposive sample of 13 women 1-18 years after breast cancer treatment. METHO...

In this paper, I describe how Donnellan's distinction between referential and attributive uses of definite descriptions should be represented in a computational model of reference. After briefly discussing the significance of Donnellan's distinction, I reinterpret it as being three-tiered, relating to object representation, referring intentions, and choice of rehrring expression. I then present...