Mayank Vatsa

1. Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks
   2018/02/22 by Gaurav Goswami, Nalini Ratha, Goswami, Gaurav +7 · 7 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
2. Trustworthy AI
   2020/11/02 by Richa Singh, Singh, Richa, Mayank Vatsa +3 · 4 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
3. Demography-based Facial Retouching Detection using Subclass Supervised Sparse Autoencoder
   2017/09/22 by Aparna Bharati, Bharati, Aparna, Mayank Vatsa +7 · 2 citations
   Computer Science · Medicine · #Face recognition and analysis #Facial Nerve Paralysis Treatment and Research #Visual Attention and Saliency Detection
4. Greedy Deep Dictionary Learning
   2016/01/31 by Snigdha Tariyal, Tariyal, Snigdha, Angshul Majumdar +5 · 2 citations
   Computer Science · #Advanced Data Compression Techniques #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies
5. DeePhy: On Deepfake Phylogeny
   2022/09/19 by Kartik Narayan, Narayan, Kartik, Harsh Agarwal +9 · 2 citations
   Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
6. Deep Learning for Face Recognition: Pride or Prejudiced?
   2019/04/02 by Shruti Nagpal, Nagpal, Shruti, Maneet Singh +5 · 1 citation
   Computer Science · Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face Recognition and Perception #Face recognition and analysis