SPE-21.2
EFFECTIVE AND INCONSPICUOUS OVER-THE-AIR ADVERSARIAL EXAMPLES WITH ADAPTIVE FILTERING
Patrick O'Reilly, Aravindan Vijayaraghavan, Bryan Pardo, Northwestern University, United States of America; Pranjal Awasthi, Google Research, United States of America
Session:
Speaker Recognition III: Adversarial, Spoofing and Robustness
Track:
Speech and Language Processing
Location:
Gather Area B
Presentation Time:
Mon, 9 May, 21:00 - 21:45 China Time (UTC +8)
Mon, 9 May, 13:00 - 13:45 UTC
Mon, 9 May, 13:00 - 13:45 UTC
Session Chair:
Ville Hautamaki, National University of Singapore
Session SPE-21
SPE-21.1: STUDY OF PRE-PROCESSING DEFENSES AGAINST ADVERSARIAL ATTACKS ON STATE-OF-THE-ART SPEAKER RECOGNITION SYSTEMS
Sonal Joshi, Jesús Villalba, Piotr Żelasko, Laureano Moro-Velázquez, Najim Dehak, Johns Hopkins University, United States of America
SPE-21.2: EFFECTIVE AND INCONSPICUOUS OVER-THE-AIR ADVERSARIAL EXAMPLES WITH ADAPTIVE FILTERING
Patrick O'Reilly, Aravindan Vijayaraghavan, Bryan Pardo, Northwestern University, United States of America; Pranjal Awasthi, Google Research, United States of America
SPE-21.3: LRPD: LARGE REPLAY PARALLEL DATASET
Ivan Yakovlev, Mikhail Melnikov, Nikita Bukhal, Rostislav Makarov, Alexander Alenin, Nikita Torgashov, Anton Okhotnikov, ID R&D Inc., Russian Federation
SPE-21.4: Robust self-supervised speaker representation learning via instance mix regularization
Woohyun Kang, Jahangir Alam, Abderrahim Fathan, Computer Research Institute of Montreal, Canada
SPE-21.5: GRAPH CONVOLUTIONAL NETWORK BASED SEMI-SUPERVISED LEARNING ON MULTI-SPEAKER MEETING DATA
Fuchuan Tong, Lin Li, Qingyang Hong, Xiamen University, China; Siqi Zheng, Hongbin Suo, Alibaba Group, China; Min Zhang, Zhejiang University, China; Yafeng Chen, University of Science and Technology of China, China