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Dmitry Kazhdan
Dmitry Kazhdan
PhD Student at The University of Cambridge
Email confirmado em kazhdan.net
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Now You See Me (CME): Concept-based Model Extraction
D Kazhdan, B Dimanov, M Jamnik, P Liò, A Weller
29th International Conference on Information and Knowledge Management (CIKM …, 2020
222020
Manipulating sgd with data ordering attacks
I Shumailov, Z Shumaylov, D Kazhdan, Y Zhao, N Papernot, MA Erdogdu, ...
Advances in Neural Information Processing Systems 34, 18021-18032, 2021
142021
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library
D Kazhdan, Z Shams, P Liò
2020 International Joint Conference on Neural Networks (IJCNN), 2020
102020
Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches
D Kazhdan, B Dimanov, HA Terre, M Jamnik, P Liò, A Weller
The Tenth International Conference on Learning Representations (ICLR 2021 …, 2021
72021
MEME: Generating RNN Model Explanations via Model Extraction
D Kazhdan, B Dimanov, M Jamnik, P Liò
NeurIPS 2020, HAMLETS workshop, 2020
42020
Failing Conceptually: Concept-Based Explanations of Dataset Shift
MA Wijaya, D Kazhdan, B Dimanov, M Jamnik
arXiv preprint arXiv:2104.08952, 2021
32021
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
LC Magister, D Kazhdan, V Singh, P Liò
arXiv preprint arXiv:2107.11889, 2021
22021
Encoding Concepts in Graph Neural Networks
LC Magister, P Barbiero, D Kazhdan, F Siciliano, G Ciravegna, F Silvestri, ...
arXiv e-prints, arXiv: 2207.13586, 2022
2022
Algorithmic Concept-Based Explainable Reasoning
D Georgiev, P Barbiero, D Kazhdan, P Veličković, P Liò
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6685-6693, 2022
2022
On The Quality Assurance Of Concept-Based Representations
ME Zarlenga, P Barbiero, Z Shams, D Kazhdan, U Bhatt, M Jamnik
2021
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