27 citations · 81 across the 32 of their papers we have counts for
7 papers · 1 filter
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!
Tirth Patel, Fred Lu, Edward Raff +3
Industry practitioners care about small improvements in malware detection accuracy because their models are deployed to hundreds of millions of machines, meaning a 0.1\% change can…
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests
Edward Raff, James Holt
Multiple Instance Learning (MIL) is a sub-domain of classification problems with positive and negative labels and a "bag" of inputs, where the label is positive if and only if a po…
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers
Robert J. Joyce, Edward Raff, Charles Nicholas +1
Existing research on malware classification focuses almost exclusively on two tasks: distinguishing between malicious and benign files and classifying malware by family. However, m…
An Easy Rejection Sampling Baseline via Gradient Refined Proposals
Edward Raff, Mark McLean, James Holt
Rejection sampling is a common tool for low dimensional problems (), often touted as an "easy" way to obtain valid samples from a distribution of interest. In…
Exploring the Sharpened Cosine Similarity
Skyler Wu, Fred Lu, Edward Raff +1
Convolutional layers have long served as the primary workhorse for image classification. Recently, an alternative to convolution was proposed using the Sharpened Cosine Similarity…
Recasting Self-Attention with Holographic Reduced Representations
Mohammad Mahmudul Alam, Edward Raff, Stella Biderman +2
In recent years, self-attention has become the dominant paradigm for sequence modeling in a variety of domains. However, in domains with very long sequence lengths the $\mathcal{O}…