受强制性开放获取政策约束的文章 - Mojan Javaheripi了解详情
无法在其他位置公开访问的文章：1 篇
Videoflip: Adversarial bit flips for reducing video service quality
JW Chang, M Javaheripi, F Koushanfar
2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense, US Office of the …
可在其他位置公开访问的文章：14 篇
Cleann: Accelerated trojan shield for embedded neural networks
M Javaheripi, M Samragh, G Fields, T Javidi, F Koushanfar
Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020
强制性开放获取政策： US Department of Defense
Semihd: Semi-supervised learning using hyperdimensional computing
M Imani, S Bosch, M Javaheripi, B Rouhani, X Wu, F Koushanfar, ...
IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-8, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models
M Javaheripi, GH de Rosa, S Mukherjee, S Shah, TL Religa, ...
Advances in Neural Information Processing Systems, 2022
强制性开放获取政策： US National Science Foundation
Encodeep: Realizing bit-flexible encoding for deep neural networks
M Samragh, M Javaheripi, F Koushanfar
ACM Transactions on Embedded Computing Systems (TECS) 19 (6), 1-29, 2020
强制性开放获取政策： US Department of Defense, US Office of the Director of National Intelligence
CuRTAIL: ChaRacterizing and Thwarting AdversarIal deep Learning
M Javaheripi, M Samragh, BD Rouhani, T Javidi, F Koushanfar
IEEE Transactions on Dependable and Secure Computing, 2020
强制性开放获取政策： US Department of Defense
MPCircuits: Optimized Circuit Generation for Secure Multi-Party Computation.
MS Riazi, M Javaheripi, SU Hussain, F Koushanfar
IACR Cryptology ePrint Archive 2019, 275, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
Machine learning-assisted E-jet printing for manufacturing of organic flexible electronics
MA Shirsavar, M Taghavimehr, LJ Ouedraogo, M Javaheripi, NN Hashemi, ...
Biosensors and Bioelectronics 212, 114418, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
GeneCAI: Genetic Evolution for Acquiring Compact AI
M Javaheripi, M Samragh, T Javidi, F Koushanfar
GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation …, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
zprobe: Zero peek robustness checks for federated learning
Z Ghodsi, M Javaheripi, N Sheybani, X Zhang, K Huang, F Koushanfar
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Lanturn: Measuring economic security of smart contracts through adaptive learning
K Babel, M Javaheripi, Y Ji, M Kelkar, F Koushanfar, A Juels
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
强制性开放获取政策： US National Science Foundation
AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks
M Javaheripi, JW Chang, F Koushanfar
ACM Journal on Emerging Technologies in Computing Systems 19 (1), 1-20, 2022
强制性开放获取政策： US National Science Foundation
Autorank: Automated rank selection for effective neural network customization
M Javaheripi, M Samragh, F Koushanfar
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11 (4 …, 2021
强制性开放获取政策： US National Science Foundation, US Office of the Director of National …
Systemization of knowledge: robust deep learning using hardware-software co-design in centralized and federated settings
R Zhang, S Hussain, H Chen, M Javaheripi, F Koushanfar
ACM Transactions on Design Automation of Electronic Systems 28 (6), 1-32, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense, US Office of the …
AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs
R Zhang, M Javaheripi, Z Ghodsi, A Bleiweiss, F Koushanfar
2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023
强制性开放获取政策： US National Science Foundation
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