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My ICASSP 2019 Schedule

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MLSP-P6: Adversarial Learning

Session Type: Poster
Time: Wednesday, May 15, 08:30 - 10:30
Location: Poster Area H, East Bar, First Floor
Session Chair: Wee Peng Tay, Nanyang Technological University
 
  MLSP-P6.1: EMBEDDING PHYSICAL AUGMENTATION AND WAVELET SCATTERING TRANSFORM TO GENERATIVE ADVERSARIAL NETWORKS FOR AUDIO CLASSIFICATION WITH LIMITED TRAINING RESOURCES
         Teh Kah Kuan; Institute for Infocomm Research, A*STAR Singapore
         Tran Huy Dat; Institute for Infocomm Research, A*STAR Singapore
 
  MLSP-P6.2: ADVERSARIAL INPAINTING OF MEDICAL IMAGE MODALITIES
         Karim Armanious; University of Stuttgart
         Youssef Mecky; German University in Cairo
         Sergios Gatidis; University of Tübingen
         Bin Yang; University of Stuttgart
 
  MLSP-P6.3: TOWARDS UNSUPERVISED SINGLE-CHANNEL BLIND SOURCE SEPARATION USING ADVERSARIAL PAIR UNMIX-AND-REMIX
         Yedid Hoshen; Facebook AI Research and Hebrew University of Jerusalem
 
  MLSP-P6.4: EFFICIENT RANDOMIZED DEFENSE AGAINST ADVERSARIAL ATTACKS IN DEEP CONVOLUTIONAL NEURAL NETWORKS
         Fatemeh Sheikholeslami; University of Minnesota
         Swayambhoo Jain; Technicolor AI Lab
         Georgios B. Giannakis; University of Minnesota
 
  MLSP-P6.5: POSTFILTERING USING AN ADVERSARIAL DENOISING AUTOENCODER WITH NOISE-AWARE TRAINING
         Naohiro Tawara; Waseda University
         Hikari Tanabe; Waseda University
         Tetsunori Kobayashi; Waseda University
         Masaru Fujieda; OKI Electric Industry Co., Ltd
         Kazuhiro Katagiri; OKI Electric Industry Co., Ltd
         Takashi Yazu; OKI Electric Industry Co., Ltd
         Tetsuji Ogawa; Waseda University