← Search

Jiali Yu

2 accepted papers

2022

Adversary Distillation for One-Shot Attacks on 3D Target Tracking

ICASSP 2022accepted

Considering the vulnerability of existing deep models in the adversarial scenario, the robustness of 3D target tracking is not guaranteed. In this paper, we present an efficient generation based adversarial attack, termed Adversary Distillation Network (AD-Net), which is able to distract a victim tr…

Cited by 0SourceScholar
2021

HAWQ-V3: Dyadic Neural Network Quantization

ICML 2021spotlight

Current low-precision quantization algorithms often have the hidden cost of conversion back and forth from floating point to quantized integer values. This hidden cost limits the latency improvement realized by quantizing Neural Networks. To address this, we present HAWQ-V3, a novel mixed-precision…