MLSP-L1: Adversarial Machine Learning |
Session Type: Lecture |
Time: Tuesday, 5 May, 16:30 - 18:30 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chair: Zheng-Hua Tan, Aalborg University |
MLSP-L1.1: HEADLESS HORSEMAN: ADVERSARIAL ATTACKS ON TRANSFER LEARNING MODELS |
Ahmed Abdelkader; University of Maryland |
Michael Curry; University of Maryland |
Liam Fowl; University of Maryland |
Tom Goldstein; University of Maryland |
Avi Schwarzschild; University of Maryland |
Manli Shu; University of Maryland |
Christoph Studer; Cornell Tech |
Chen Zhu; University of Maryland |
MLSP-L1.2: DETECTING ADVERSARIAL ATTACKS IN TIME-SERIES DATA |
Mubarak Abdu-Aguye; Egypt-Japan University of Science and Technology |
Walid Gomaa; Egypt-Japan University of Science and Technology |
Yasushi Makihara; Osaka University |
Yasushi Yagi; Osaka University |
MLSP-L1.3: DETECTION OF ADVERSARIAL ATTACKS AND CHARACTERIZATION OF ADVERSARIAL SUBSPACE |
Mohammad Esmaeilpour; École de Technologie Supérieure |
Patrick Cardinal; École de Technologie Supérieure |
Alessandro Lameiras Koerich; École de Technologie Supérieure |
MLSP-L1.4: ADVERSARIAL EXAMPLE DETECTION BY CLASSIFICATION FOR DEEP SPEECH RECOGNITION |
Saeid Samizade; Aalborg University |
Zheng-Hua Tan; Aalborg University |
Chao Shen; Xi'an Jiaotong University |
Xiaohong Guan; Xi'an Jiaotong University |
MLSP-L1.5: CHARACTERIZING SPEECH ADVERSARIAL EXAMPLES USING SELF-ATTENTION U-NET ENHANCEMENT |
Chao-Han Huck Yang; Georgia Institute of Technology |
Jun Qi; Georgia Institute of Technology |
Pin-Yu Chen; IBM Research |
Xiaoli Ma; Georgia Institute of Technology |
Chin-Hui Lee; Georgia Institute of Technology |
MLSP-L1.6: ACTION-MANIPULATION ATTACKS ON STOCHASTIC BANDITS |
Guanlin Liu; University of California, Davis |
Lifeng Lai; University of California, Davis |