Reich, Steven

1. Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
   2022/01/29 by Fowl, Liam, Geiping, Jonas, Reich, Steven +4 · 3 citations
   #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. What do Vision Transformers Learn? A Visual Exploration
   2022/12/13 by Ghiasi, Amin, Kazemi, Hamid, Borgnia, Eitan +5 · 3 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
3. Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
   2020/02/17 by Goldblum, Micah, Reich, Steven, Fowl, Liam +3 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
   2022/01/31 by Amin Ghiasi, Hamid Kazemi, Ghiasi, Amin +9 · 2 citations
   Computer Science · Earth and Planetary Sciences · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Seismic Imaging and Inversion Techniques
5. WITCHcraft: Efficient PGD attacks with random step size
   2019/11/18 by Chiang, Ping-Yeh, Geiping, Jonas, Goldblum, Micah +4 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
6. A Deep Dive into Dataset Imbalance and Bias in Face Identification
   2022/03/15 by Cherepanova, Valeriia, Reich, Steven, Dooley, Samuel +3 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)