133 citations · 179 across the 7 of their papers we have counts for
3 papers · 2 filters
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…