متابعة
Edward Raff
Edward Raff
Booz Allen Hamilton, UMBC
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling‏
S Biderman, H Schoelkopf, Q Anthony, H Bradley, K O'Brien, E Hallahan, ...‏
International Conference on Machine Learning (ICML), 2023‏
9802023
Malware Detection by Eating a Whole EXE‏
E Raff, J Barker, J Sylvester, R Brandon, B Catanzaro, C Nicholas‏
AAAI Workshop on Artificial Intelligence for Cyber Security, 2018‏
7692018
Crosslingual Generalization through Multitask Finetuning‏
N Muennighoff, T Wang, L Sutawika, A Roberts, S Biderman, TL Scao, ...‏
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2022‏
7022022
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance‏
K Crowson, S Biderman, D Kornis, D Stander, E Hallahan, L Castricato, ...‏
European Conference on Computer Vision (ECCV), 2022‏
488*2022
Barrage of random transforms for adversarially robust defense‏
E Raff, J Sylvester, S Forsyth, M McLean‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019‏
2092019
An investigation of byte n-gram features for malware classification‏
E Raff, R Zak, R Cox, J Sylvester, P Yacci, R Ward, A Tracy, M McLean, ...‏
Journal of Computer Virology and Hacking Techniques, 1-20, 2016‏
2052016
Accounting for variance in machine learning benchmarks‏
X Bouthillier, P Delaunay, M Bronzi, A Trofimov, B Nichyporuk, J Szeto, ...‏
arXiv preprint arXiv:2103.03098, 2021‏
1802021
Learning the PE Header, Malware Detection with Minimal Domain Knowledge‏
E Raff, J Sylvester, C Nicholas‏
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security …, 2017‏
1722017
Exploratory analysis of covid-19 tweets using topic modeling, umap, and digraphs‏
C Ordun, S Purushotham, E Raff‏
epiDAMIK 2020: 3rd epiDAMIK ACM SIGKDD International Workshop on …, 2020‏
155*2020
A Step Toward Quantifying Independently Reproducible Machine Learning Research‏
E Raff‏
Advances in Neural Information Processing Systems, 5485-5495, 2019‏
1552019
Emergent and predictable memorization in large language models‏
S Biderman, US Prashanth, L Sutawika, H Schoelkopf, Q Anthony, ...‏
NeurIPS, 2023‏
1502023
An Alternative to NCD for Large Sequences, Lempel-Ziv Jaccard Distance‏
E Raff, C Nicholas‏
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017‏
1072017
LEACE: Perfect linear concept erasure in closed form‏
N Belrose, D Schneider-Joseph, S Ravfogel, R Cotterell, E Raff, ...‏
NeurIPS, 2023‏
992023
Fair Forests: Regularized Tree Induction to Minimize Model Bias‏
E Raff, J Sylvester, S Mills‏
AAAI/ACM Conference on AI, Ethics, and Society, 2017‏
922017
Gradient Reversal Against Discrimination: A Fair Neural Network Learning Approach‏
E Raff, J Sylvester‏
The 5th IEEE International Conference on Data Science and Advanced Analytics, 2018‏
74*2018
JSAT: Java Statistical Analysis Tool, a Library for Machine Learning‏
E Raff‏
Journal of Machine Learning Research 18 (23), 1-5, 2017‏
722017
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification‏
E Raff, C Nicholas‏
NeurIPS 2020 Workshop: ML Retrospectives, Surveys & Meta-Analyses (ML-RSA), 2020‏
702020
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection‏
E Raff, W Fleshman, R Zak, HS Anderson, B Filar, M McLean‏
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021‏
682021
Fooling MOSS Detection with Pretrained Language Models‏
S Biderman, E Raff‏
Proceedings of the 31st ACM International Conference on Information …, 2022‏
60*2022
Static malware detection & subterfuge: Quantifying the robustness of machine learning and current anti-virus‏
W Fleshman, E Raff, R Zak, M McLean, C Nicholas‏
2018 13th International Conference on Malicious and Unwanted Software …, 2018‏
602018
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مقالات 1–20