Adversarial explanations for understanding image classification decisions and improved neural network robustness W Woods, J Chen, C Teuscher Nature Machine Intelligence 1 (11), 508-516, 2019 | 32 | 2019 |
Spoken digit classification by in-materio reservoir computing with neuromorphic atomic switch networks S Lilak, W Woods, K Scharnhorst, C Dunham, C Teuscher, AZ Stieg, ... Frontiers in Nanotechnology 3, 675792, 2021 | 30 | 2021 |
Synaptic weight states in a locally competitive algorithm for neuromorphic memristive hardware W Woods, J Bürger, C Teuscher IEEE Transactions on Nanotechnology 14 (6), 945-953, 2015 | 22 | 2015 |
Memristor panic—A survey of different device models in crossbar architectures W Woods, MMA Taha, SJD Tran, J Bürger, C Teuscher Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale …, 2015 | 20 | 2015 |
Fast and accurate sparse coding of visual stimuli with a simple, ultralow-energy spiking architecture W Woods, C Teuscher IEEE transactions on neural networks and learning systems 30 (7), 2173-2187, 2018 | 13 | 2018 |
Approximate vector matrix multiplication implementations for neuromorphic applications using memristive crossbars W Woods, C Teuscher 2017 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH …, 2017 | 13 | 2017 |
Non-Temporal logic performance of an atomic switch network K Scharnhorst, W Woods, C Teuscher, A Stieg, J Gimzewski 2017 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH …, 2017 | 8 | 2017 |
On the influence of synaptic weight states in a locally competitive algorithm for memristive hardware W Woods, J Bürger, C Teuscher Proceedings of the 2014 IEEE/ACM International Symposium on Nanoscale …, 2014 | 6 | 2014 |
Approximate in-memory Hamming distance calculation with a memristive associative memory MMA Taha, W Woods, C Teuscher 2016 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH …, 2016 | 5 | 2016 |
Icarus: Understanding de facto formats by way of feathers and wax S Cowger, Y Lee, N Schimanski, M Tullsen, W Woods, R Jones, EW Davis, ... 2020 IEEE Security and Privacy Workshops (SPW), 327-334, 2020 | 4 | 2020 |
Reliable classification explanations via adversarial attacks on robust networks W Woods, J Chen, C Teuscher arXiv preprint arXiv:1906.02896 3 (5), 2019 | 3 | 2019 |
Exploring and Expanding the One-Pixel Attack U Khan, W Woods, C Teuscher | 2 | 2019 |
LAGOON: an analysis tool for open source communities S Dey, W Woods Proceedings of the 19th International Conference on Mining Software …, 2022 | 1 | 2022 |
RL-GRIT: Reinforcement learning for grammar inference W Woods 2021 IEEE Security and Privacy Workshops (SPW), 171-183, 2021 | 1 | 2021 |
Anomaly Detection with Neural Parsers That Never Reject A Grushin, W Woods 2022 IEEE Security and Privacy Workshops (SPW), LangSec, 2022 | | 2022 |
Application of a Simple, Spiking, Locally Competitive Algorithm to Radionuclide Identification M Carson, W Woods, S Reynolds, M Wetzel, AJ Morton, AA Hecht, ... IEEE Transactions on Nuclear Science 68 (3), 292-304, 2021 | | 2021 |
Extracting Grammars from a Neural Network Parser for Anomaly Detection in Unknown Formats. A Grushin, W Woods CoRR, 2021 | | 2021 |
Impact of Memristor Defects in a Neuromorphic Radionuclide Identification System JI Canales-Verdial, W Woods, C Teuscher, M Osinski, P Zarkesh-Ha 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | | 2020 |
Sensory Relevance Models W Woods Portland State University, 2019 | | 2019 |
Reliable Explanations via Adversarial Examples on Robust Networks W Woods, JH Chen, C Teuscher | | 2019 |