3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.CV2023
AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings
Renyang Liu, Jinhong Zhang, Haoran Li +3
Extensive studies have demonstrated that deep neural networks (DNNs) are vulnerable to adversarial attacks. Despite the significant progress in the attack success rate that has bee…
cs.NE2014★ 3 cited
The Case for a Mixed-Initiative Collaborative Neuroevolution Approach
Sebastian Risi, Jinhong Zhang, Rasmus Taarnby +4
It is clear that the current attempts at using algorithms to create artificial neural networks have had mixed success at best when it comes to creating large networks and/or comple…