2022
On Adversarial Robustness Of Large-Scale Audio Visual Learning
ICASSP 2022accepted
As audio-visual systems are being deployed for safety-critical tasks such as surveillance and malicious content filtering, their robustness remains an under-studied area. Existing published work on robustness either does not scale to large-scale dataset, or does not deal with multiple modalities. Th…