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Publication search results
found 7 matches
- 2023
- Rui Duan, Zhe Qu, Leah Ding, Yao Liu, Zhuo Lu:
Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models. CoRR abs/2311.07780 (2023) - 2020
- Ronnie Stafford:
Improving the practicality of model-based reinforcement learning: an investigation into scaling up model-based methods in online settings. University College London, UK, 2020 - Soheil Jamshidi, Zayd Hammoudeh, Ramakrishnan Durairajan, Daniel Lowd, Reza Rejaie, Walter Willinger:
On the Practicality of Learning Models for Network Telemetry. TMA 2020 - 2019
- Ilham Tri Maulana, Restyaliza Hary, Ratih Purwasih, Fadil Firdian, Tri A. Sundara, Jufriadif Na'am:
Project-Based Learning Model Practicality on Local Network Devices Installation Subject. Int. J. Emerg. Technol. Learn. 14(15): 94-106 (2019) - Hiromitsu Goto, Wataru Souma, Yuji Fujita:
Practicality evaluation of stochastic model on networks for the real economy simulation. J. Comput. Soc. Sci. 2(1): 25-32 (2019) - 2017
- Shiyu Zhao, Zhiyong Sun:
Defend the practicality of single-integrator models in multi-robot coordination control. ICCA 2017: 666-671 - 2001
- Haifeng Yu, Amin Vahdat:
Combining Generality and Practicality in a Conit-Based Continuous Consistency Model for Wide-Area Replication. ICDCS 2001: 429-438
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