usenix security '22 - cheetah: lean and fast secure two-party deep neural network inference
Published 1 year ago • 656 plays • Length 10:05Download video MP4
Download video MP3
Similar videos
-
12:15
usenix security '21 - gforce: gpu-friendly oblivious and rapid neural network inference
-
19:13
usenix security '19 - xonn: xnor-based oblivious deep neural network inference
-
26:51
usenix security '18 - gazelle: a low latency framework for secure neural network inference
-
12:18
usenix security '20 - delphi: a cryptographic inference service for neural networks
-
12:50
usenix security '20 - deephammer: depleting the intelligence of deep neural networks through target
-
10:17
usenix security '23 - carpetfuzz: automatic program option constraint extraction from...
-
21:41
usenix security '18 - formal security analysis of neural networks using symbolic intervals
-
14:23
usenix security '22 - using trātṛ to tame adversarial synchronization
-
26:35
usenix security '16 - fast, lean, and accurate: modeling password guessability using neural networks
-
12:32
usenix security '22 - drifuzz: harvesting bugs in device drivers from golden seeds
-
12:24
usenix security '22 - exploring the security boundary of data reconstruction via neuron exclusivity
-
10:55
usenix security '22 - autoda: automated decision-based iterative adversarial attacks
-
10:58
usenix security '20 - high accuracy and high fidelity extraction of neural networks
-
16:10
usenix security '22 - skilldetective: automated policy-violation detection of voice assistant...