RNN-Guard: Certified Robustness Against Multi-frame Attacks for Recurrent Neural Networks

Yunruo Zhang, Tianyu Du, Shouling Ji +2

It is well-known that recurrent neural networks (RNNs), although widely used, are vulnerable to adversarial attacks including one-frame attacks and multi-frame attacks. Though a fe…