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Do Gradient Inversion Attacks Make Federated Learning Unsafe?
Ali Hatamizadeh
,
Hongxu Yin
,
Pavlo Molchanov
,
Andriy Myronenko
,
Wenqi Li
,
Prerna Dogra
,
Andrew Feng
,
Mona G Flores
,
Jan Kautz
,
Daguang Xu
,
others
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DRaCoN--Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars
Amit Raj
,
Umar Iqbal
,
Koki Nagano
,
Sameh Khamis
,
Pavlo Molchanov
,
James Hays
,
Jan Kautz
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GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
Ye Yuan
,
Umar Iqbal
,
Pavlo Molchanov
,
Kris Kitani
,
Jan Kautz
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Code
Project
Video
CVPR2022 (Oral)
When to Prune? A Policy towards Early Structural Pruning
Maying Shen
,
Pavlo Molchanov
,
Hongxu Yin
,
Jose M Alvarez
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Project
CVPR2022
LANA: Latency Aware Network Acceleration
We introduce latency-aware network acceleration (LANA)–an approach that builds on neural architecture search techniques and …
Pavlo Molchanov
,
Jimmy Hall
,
Hongxu Yin
,
Jan Kautz
,
Nicolo Fusi
,
Arash Vahdat
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Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion
Xin Dong
,
Hongxu Yin
,
Jose M Alvarez
,
Jan Kautz
,
Pavlo Molchanov
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Poster
Adversarial motion modelling helps semi-supervised hand pose estimation
Adrian Spurr
,
Pavlo Molchanov
,
Umar Iqbal
,
Jan Kautz
,
Otmar Hilliges
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HALP: Hardware-Aware Latency Pruning
Maying Shen
,
Hongxu Yin
,
Pavlo Molchanov
,
Lei Mao
,
Jianna Liu
,
Jose M Alvarez
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Towards Understanding the Risks of Gradient Inversion in Federated Learning
Ali Hatamizadeh
,
Hongxu Yin
,
Pavlo Molchanov
,
Andriy Myronenko
,
Wenqi Li
,
Prerna Dogra
,
Andrew Feng
,
Mona Flores
,
Jan Kautz
,
Daguang Xu
,
others
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Hardnn: Feature map vulnerability evaluation in cnns
Abdulrahman Mahmoud
,
Siva Kumar Sastry Hari
,
Christopher W Fletcher
,
Sarita V Adve
,
Charbel Sakr
,
Naresh Shanbhag
,
Pavlo Molchanov
,
Michael B Sullivan
,
Timothy Tsai
,
Stephen W Keckler
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