IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
MLSP-14.1

POSITION-INVARIANT ADVERSARIAL ATTACKS ON NEURAL MODULATION RECOGNITION

Zhen Yu, Yifeng Xiong, Kun He, Huazhong University of Science and Technology, China; Shao Huang, Yaodong Zhao, Jie Gu, Science and Technology on Electronic Information Control Laboratory, China

Session:
Deep Learning III

Track:
Machine Learning for Signal Processing

Location:
Gather Area F

Presentation Time:
Mon, 9 May, 21:00 - 21:45 China Time (UTC +8)
Mon, 9 May, 13:00 - 13:45 UTC

Session Chair:
Qing Qu, University of Michigan
Presentation
Discussion
Resources
Session MLSP-14
MLSP-14.1: POSITION-INVARIANT ADVERSARIAL ATTACKS ON NEURAL MODULATION RECOGNITION
Zhen Yu, Yifeng Xiong, Kun He, Huazhong University of Science and Technology, China; Shao Huang, Yaodong Zhao, Jie Gu, Science and Technology on Electronic Information Control Laboratory, China
MLSP-14.2: USING A SINGLE INPUT TO FORECAST HUMAN ACTION KEYSTATES IN EVERYDAY PICK AND PLACE ACTIONS
Haziq Razali, Yiannis Demiris, Imperial College London, United Kingdom of Great Britain and Northern Ireland
MLSP-14.3: ADVERSARIAL ROBUSTNESS BY DESIGN THROUGH ANALOG COMPUTING AND SYNTHETIC GRADIENTS
Alessandro Cappelli, Iacopo Poli, LightOn, France; Ruben Ohana, Julien Launay, LightOn/ Ecole Normale Superieure, France; Laurent Meunier, Université Dauphine/ Facebook AI Research, France; Florent Krzakala, LightOn/ EPFL, France
MLSP-14.4: DIFFERENTIABLE PROGRAMMING A LA MOREAU
Vincent Roulet, Zaid Harchaoui, University of Washington, United States of America
MLSP-14.5: Data Agnostic Filter Gating for Efficient Deep Networks
Hongyan Xu, Arcot Sowmya, the University of New South Wales, Australia; Xiu Su, Chang Xu, the University of Sydney, Australia; Shan You, Tao Huang, Fei Wang, Chen Qian, Sensetime, China; Changshui Zhang, Tsinghua University, China; Dadong Wang, Data61, The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
MLSP-14.6: PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks
Dimah Dera, The University of Texas Rio Grande Valley, United States of America; Nidhal Buaynaya, Ghulam Rasool, Rowan University, United States of America; Roman Shterenberg, Hassan Fathallah-Shaykh, University of Alabama at Birmingham, United States of America