Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations

30 November 2022

Papers citing "Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations"

5 / 5 papers shown

Title
Exploring Cross-model Neuronal Correlations in the Context of Predicting Model Performance and Generalizability Haniyeh Ehsani Oskouie Lionel Levine Majid Sarrafzadeh 27 2 0 15 Aug 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 42 3 0 02 May 2024
Attack on Scene Flow using Point Clouds Haniyeh Ehsani Oskouie M. Moin S. Kasaei 3DPC AAML 31 0 0 21 Apr 2024
Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems Yi Xie Cong Shi Zhuohang Li Jian-Dong Liu Yingying Chen Bo Yuan AAML 81 95 0 04 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,572 0 17 Apr 2017