Enhancing Transferability of Black-box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models

Zhao Ren, Jing Han, Nicholas Cummins, Bjoern Schuller

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

13 Citations (Scopus)

Original language	English
Title of host publication	Proceedings INTERSPEECH 2020
Publisher	ISCA-INST SPEECH COMMUNICATION ASSOC
Pages	496-500
Publication status	Published - Oct 2020

Cite this

@inbook{f5874623521c45e6ba2357314440cf7a,

title = "Enhancing Transferability of Black-box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models",

author = "Zhao Ren and Jing Han and Nicholas Cummins and Bjoern Schuller",

year = "2020",

month = oct,

language = "English",

pages = "496--500",

booktitle = "Proceedings INTERSPEECH 2020",

publisher = "ISCA-INST SPEECH COMMUNICATION ASSOC",

}