Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

4 January 2021

Papers citing "Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead"

27 / 27 papers shown

Title
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications Amira Guesmi Muhammad Abdullah Hanif Ihsen Alouani B. Ouni Muhammad Shafique AAML MDE 39 5 0 18 Mar 2024
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting Mohammad Hasan Ahmadilivani Mahdi Taheri J. Raik Masoud Daneshtalab M. Jenihhin AAML 23 9 0 16 Jun 2023
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks Mohammad Hasan Ahmadilivani Mahdi Taheri J. Raik Masoud Daneshtalab M. Jenihhin 35 25 0 09 May 2023
Security and Privacy Issues for Urban Smart Traffic Infrastructure Anubhab Baksi A. I. S. Khalil Anupam Chattopadhyay 13 0 0 17 Apr 2023
DeepVigor: Vulnerability Value Ranges and Factors for DNNs' Reliability Assessment Mohammad Hasan Ahmadilivani Mahdi Taheri J. Raik Masoud Daneshtalab M. Jenihhin 39 12 0 13 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
Statistical Modeling of Soft Error Influence on Neural Networks Haitong Huang Xing-xiong Xue Cheng Liu Ying Wang Tao Luo Long Cheng Huawei Li Xiaowei Li 26 7 0 12 Oct 2022
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks Alberto Marchisio Vojtěch Mrázek Andrea Massa Beatrice Bussolino Maurizio Martina Muhammad Shafique AAML 40 5 0 11 Oct 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 39 106 0 16 Jun 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems Alberto Marchisio Giovanni Caramia Maurizio Martina Muhammad Shafique AAML 33 8 0 27 May 2022
Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review Shashank Bangalore Lakshman Nasir U. Eisty 11 12 0 19 Apr 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Muhammad Shafique 31 13 0 18 Apr 2022
Fault-Tolerant Deep Learning: A Hierarchical Perspective Cheng Liu Zhen Gao Siting Liu Xuefei Ning Huawei Li Xiaowei Li 40 9 0 05 Apr 2022
Winograd Convolution: A Perspective from Fault Tolerance Xing-xiong Xue Haitong Huang Cheng Liu Ying Wang Tao Luo L. Zhang 45 13 0 17 Feb 2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators Lois Orosa Skanda Koppula Yaman Umuroglu Konstantinos Kanellopoulos Juan Gómez Luna Michaela Blott K. Vissers O. Mutlu 43 4 0 04 Feb 2022
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping B. Ghavami Seyd Movi Zhenman Fang Lesley Shannon AAML 34 9 0 25 Dec 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks Anuj Dubey Rosario Cammarota Vikram B. Suresh Aydin Aysu AAML 30 31 0 01 Sep 2021
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Muhammad Shafique 26 36 0 23 Aug 2021
On the Robustness of Controlled Deep Reinforcement Learning for Slice Placement José Jurandir Alves Esteves Amina Boubendir Fabrice Michel Guillemin Pierre Sens OOD OffRL 17 5 0 05 Aug 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Muhammad Shafique AAML 34 30 0 01 Jul 2021
MLDemon: Deployment Monitoring for Machine Learning Systems Antonio A. Ginart Martin Jinye Zhang James Zou 51 18 0 28 Apr 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique BDL 56 140 0 21 Dec 2020
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks Weiming Xiang Hoang-Dung Tran Taylor T. Johnson 88 292 0 09 Aug 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 231 1,837 0 03 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 264 3,110 0 04 Nov 2016
Safety Verification of Deep Neural Networks Xiaowei Huang M. Kwiatkowska Sen Wang Min Wu AAML 180 932 0 21 Oct 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016