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 14, 1-20, 2018 | 204 | 2018 |
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 | 201 | 2019 |
Exploring the design space of specialized multicore neural processors TM Taha, R Hasan, C Yakopcic, MR McLean The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 73 | 2013 |
Classifying sequences of extreme length with constant memory applied to malware detection E Raff, W Fleshman, R Zak, HS Anderson, B Filar, M McLean Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9386-9394, 2021 | 62 | 2021 |
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 | 57 | 2018 |
Memristor‐based neuron circuit and method for applying learning algorithm in SPICE C Yakopcic, R Hasan, TM Taha, M McLean, D Palmer Electronics Letters 50 (7), 492-494, 2014 | 49 | 2014 |
Non-negative networks against adversarial attacks W Fleshman, E Raff, J Sylvester, S Forsyth, M McLean arXiv preprint arXiv:1806.06108, 2018 | 42 | 2018 |
Memristor model optimization based on parameter extraction from device characterization data C Yakopcic, TM Taha, DJ Mountain, T Salter, MJ Marinella, M McLean IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019 | 35 | 2019 |
Efficacy of memristive crossbars for neuromorphic processors C Yakopcic, R Hasan, TM Taha, MR McLean, D Palmer 2014 International Joint Conference on Neural Networks (IJCNN), 15-20, 2014 | 31 | 2014 |
Memristor crossbar tiles in a flexible, general purpose neural processor DJ Mountain, MR McLean, CD Krieger IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (1 …, 2017 | 30 | 2017 |
Learning with holographic reduced representations A Ganesan, H Gao, S Gandhi, E Raff, T Oates, J Holt, M McLean Advances in neural information processing systems 34, 25606-25620, 2021 | 28 | 2021 |
Kilograms: Very large n-grams for malware classification E Raff, W Fleming, R Zak, H Anderson, B Finlayson, C Nicholas, ... arXiv preprint arXiv:1908.00200, 2019 | 26 | 2019 |
Method for ex‐situ training in memristor‐based neuromorphic circuit using robust weight programming method C Yakopcic, TM Taha, M McLean Electronics Letters 51 (12), 899-900, 2015 | 19 | 2015 |
Concurrent learning algorithm and the importance map MR McLean Network Science and Cybersecurity, 239-250, 2013 | 17 | 2013 |
A new burrows wheeler transform markov distance E Raff, C Nicholas, M McLean Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5444-5453, 2020 | 15 | 2020 |
Diffusive memristor and device for synaptic emulator J Yang, Q Xia, M Mclean, Q Wu, M Barnell US Patent 10,741,759, 2020 | 10 | 2020 |
Ohmic weave: Memristor-based threshold gate networks DJ Mountain, M McLean, D Palmer, JD Prucnal, CD Krieger Computer 48 (12), 65-71, 2015 | 8 | 2015 |
Hash-Grams On Many-Cores and Skewed Distributions E Raff, M McLean 2018 IEEE International Conference on Big Data (Big Data), 158-165, 2018 | 5 | 2018 |
Capacitative artificial neural networks J Yang, Q Xia, Z Wang, Q Wu, MR McLean US Patent 10,740,672, 2020 | 3 | 2020 |
An Easy Rejection Sampling Baseline via Gradient Refined Proposals. E Raff, M McLean, J Holt ECAI, 1930-1937, 2023 | 1 | 2023 |