Itay Safran

1. A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance
   2019/01/30 by Adi Shamir, Itay Safran, Shamir, Adi +5 · 2 voices · 11 citations
   Computer Science · #cs.LG #cs.CR #stat.ML
2. Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks
   2016/10/31 by Itay Safran, Ohad Shamir, Safran, Itay +1 · 15 citations
   Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #Model Reduction and Neural Networks
3. Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
   2017/12/24 by Itay Safran, Ohad Shamir, Safran, Itay +1 · 16 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications
4. How Good is SGD with Random Shuffling?
   2019/07/31 by Itay Safran, Safran, Itay, Ohad Shamir +1 · 5 citations
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
5. The Effects of Mild Over-parameterization on the Optimization Landscape\n of Shallow ReLU Neural Networks
   2020/06/01 by Itay Safran, Gilad Yehudai, Safran, Itay +3 · 3 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
6. Optimization-Based Separations for Neural Networks
   2021/12/04 by Itay Safran, Safran, Itay, Jason D. Lee +1 · 2 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
7. Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned\n Problems
   2021/06/12 by Itay Safran, Safran, Itay, Ohad Shamir +1 · 1 citation
   Computer Science · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Stochastic Gradient Optimization Techniques
8. Provable Privacy Attacks on Trained Shallow Neural Networks
   2024/10/10 by Guy Smorodinsky, Gal Vardi, Smorodinsky, Guy +3 · 3 citations
   Computer Science · Neuroscience · #Adversarial Robustness in Machine Learning #Brain Tumor Detection and Classification #Privacy-Preserving Technologies in Data