no code implementations • 23 Oct 2021 • Chang Song, Riya Ranjan, Hai Li
After quantization, the cost can be greatly saved, and the quantized models are more hardware friendly with acceptable accuracy loss.
no code implementations • 9 Aug 2021 • Zhuoyi Zhang, Cheng Jiang, Xiya Zhong, Chang Song, Yifeng Zhang
Face anti-spoofing is an important task to protect the security of face recognition.
no code implementations • 29 Dec 2020 • Chang Song, Elias Fallon, Hai Li
Neural networks are getting deeper and more computation-intensive nowadays.
no code implementations • 12 Sep 2019 • Chang Song, Zuoguan Wang, Hai Li
Recent research studies revealed that neural networks are vulnerable to adversarial attacks.
no code implementations • 27 May 2017 • Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Hai Li, Yiran Chen
Our experiments show that different adversarial strengths, i. e., perturbation levels of adversarial examples, have different working zones to resist the attack.