SSDL 2021
Safety & Security of Deep Learning 2021

Table of Contents

• Preface
  Summary: There were 12 papers submitted for peer-review to this workshop. Out of these, 9 regular papers were accepted for this volume.

Session 1:

• Lip Forgery Video Detection via Multi-Phoneme Selection
  Jiaying Lin , Wenbo Zhou , Honggu Liu , Hang Zhou , Weiming Zhang , Nenghai Yu
• Self-Supervised Deepfake Detection by Discovering Artifact Discrepancies
  Kai Hong , Xiaoyu Du
• HCF-Net: Hybrid Coarse-to-Fine Network for Forgery Reconstruction
  Long Zhuo , Shunquan Tan
• Exploring the Asynchronous of the Frequency Spectra of GAN-Generated Facial Images
  Le Minh Binh , Simon S. Woo
• Detecting Deepfakes with Multi-Metric Loss
  Ziwei Zhang , Xin Li , Rongrong Ni , Yao Zhao

Session 2:

• Fingerprint Liveness Detection via Learning Multi-Modal Deep Features
  Chengsheng Yuan , Mingyu Chen
• Reversible Adversarial Attack Based on Reversible Image Transformation
  Zhaoxia Yin , Hua Wang , Li Chen , Jie Wang , Weiming Zhang
• Towards Image Data Hiding via Facial Stego Synthesis With Generative Model
  Li Dong , Jie Wang , Rangding Wang , Yuanman Li , Weiwei Sun
• Detection of Adversarial Supports in Few-Shot Classifiers Using Self-Similarity and Filtering
  Yi Xiang Marcus Tan , Penny Chong , Jiamei Sun , Ngai-Man Cheung , Yuval Elovici , Alexander Binder