13 citations · 13 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 13 cited
An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks
Raz Lapid, Zvika Haramaty, Moshe Sipper
Deep neural networks (DNNs) are sensitive to adversarial data in a variety of scenarios, including the black-box scenario, where the attacker is only allowed to query the trained m…
cs.NE2022
Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution
Eyal Segal, Moshe Sipper
Evolutionary Computation (EC) has been shown to be able to quickly train Deep Artificial Neural Networks (DNNs) to solve Reinforcement Learning (RL) problems. While a Genetic Algor…
cs.OH2018
Gamorithm
Moshe Sipper, Jason H. Moore
Examining games from a fresh perspective we present the idea of game-inspired and game-based algorithms, dubbed "gamorithms".