Temporal Robustness against Data Poisoning
Authors: Wenxiao Wang, Soheil Feizi | Published: 2023-02-07 | Updated: 2023-12-06
脅威モデリング
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning
Authors: Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das | Published: 2022-08-14
ESAFE: Enterprise Security and Forensics at Scale
Authors: Bernard McShea, Kevin Wright, Denley Lam, Steve Schmidt, Anna Choromanska, Devansh Bisla, Shihong Fang, Alireza Sarmadi, Prashanth Krishnamurthy, Farshad Khorrami | Published: 2021-12-08
FuCE: Fuzzing+Concolic Execution guided Trojan Detection in Synthesizable Hardware Designs
Authors: Mukta Debnath, Animesh Basak Chowdhury, Debasri Saha, Susmita Sur-Kolay | Published: 2021-11-01
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems
Authors: Ron Bitton, Nadav Maman, Inderjeet Singh, Satoru Momiyama, Yuval Elovici, Asaf Shabtai | Published: 2021-07-05 | Updated: 2021-10-03
MISA: Online Defense of Trojaned Models using Misattributions
Authors: Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha | Published: 2021-03-29 | Updated: 2021-09-23
A Novel Framework for Threat Analysis of Machine Learning-based Smart Healthcare Systems
Authors: Nur Imtiazul Haque, Mohammad Ashiqur Rahman, Md Hasan Shahriar, Alvi Ataur Khalil, Selcuk Uluagac | Published: 2021-03-05
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems
Authors: Minghong Fang, Neil Zhenqiang Gong, Jia Liu | Published: 2020-02-19 | Updated: 2020-05-31
The Efficacy of SHIELD under Different Threat Models
Authors: Cory Cornelius, Nilaksh Das, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau | Published: 2019-02-01 | Updated: 2019-08-02