294 citations · 414 across the 9 of their papers we have counts for
3 papers · 1 filter
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision
Julian Büchel, Gregor Lenz, Yalun Hu +2
Event-based dynamic vision sensors provide very sparse output in the form of spikes, which makes them suitable for low-power applications. Convolutional spiking neural networks mod…
Network insensitivity to parameter noise via adversarial regularization
Julian Büchel, Fynn Faber, Dylan R. Muir
Neuromorphic neural network processors, in the form of compute-in-memory crossbar arrays of memristors, or in the form of subthreshold analog and mixed-signal ASICs, promise enormo…
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors
Julian Büchel, Dmitrii Zendrikov, Sergio Solinas +2
Mixed-signal analog/digital circuits emulate spiking neurons and synapses with extremely high energy efficiency, an approach known as "neuromorphic engineering". However, analog ci…