133 citations · 275 across the 24 of their papers we have counts for
8 papers · 1 filter
Research Reproducibility as a Survival Analysis
Edward Raff
There has been increasing concern within the machine learning community that we are in a reproducibility crisis. As many have begun to work on this problem, all work we are aware o…
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
Edward Raff, William Fleshman, Richard Zak +3
Recent works within machine learning have been tackling inputs of ever-increasing size, with cybersecurity presenting sequence classification problems of particularly extreme lengt…
Gradient Reversal Against Discrimination
Edward Raff, Jared Sylvester
No methods currently exist for making arbitrary neural networks fair. In this work we introduce GRAD, a new and simplified method to producing fair neural networks that can be used…
Non-Negative Networks Against Adversarial Attacks
William Fleshman, Edward Raff, Jared Sylvester +2
Adversarial attacks against neural networks are a problem of considerable importance, for which effective defenses are not yet readily available. We make progress toward this probl…
Engineering a Simplified 0-Bit Consistent Weighted Sampling
Edward Raff, Jared Sylvester, Charles Nicholas
The Min-Hashing approach to sketching has become an important tool in data analysis, information retrial, and classification. To apply it to real-valued datasets, the ICWS algorith…
Fair Forests: Regularized Tree Induction to Minimize Model Bias
Edward Raff, Jared Sylvester, Steven Mills
The potential lack of fairness in the outputs of machine learning algorithms has recently gained attention both within the research community as well as in society more broadly. Su…