AIセキュリティポータルbot

With False Friends Like These, Who Can Notice Mistakes?

Authors: Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen | Published: 2020-12-29 | Updated: 2021-12-13
Adversarial Example
Adversarial Learning
Defense Mechanism

Phishing Detection through Email Embeddings

Authors: Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones | Published: 2020-12-28
Email Security
Machine Learning Algorithm
Feature Engineering

Implementation of Security Systems for Detection and Prevention of Data Loss/Leakage at Organization via Traffic Inspection

Authors: Mir Hassan, Chen Jincai, Adnan Iftekhar, Adnan Shehzad, Xiaohui Cui | Published: 2020-12-28
Data Management System
Information Leakage Analysis
Defense Mechanism

Predicting Organizational Cybersecurity Risk: A Deep Learning Approach

Authors: Benjamin M. Ampel | Published: 2020-12-26
Challenges of Data Labeling
Machine Learning Algorithm
Research Methodology

Robustness, Privacy, and Generalization of Adversarial Training

Authors: Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao | Published: 2020-12-25
Relationship between Robustness and Privacy
Adversarial Example
Adversarial Training

Gradient-Free Adversarial Attacks for Bayesian Neural Networks

Authors: Matthew Yuan, Matthew Wicker, Luca Laurenti | Published: 2020-12-23
Attack Evaluation
Adversarial Example
Defense Method

Selective Forgetting of Deep Networks at a Finer Level than Samples

Authors: Tomohiro Hayase, Suguru Yasutomi, Takashi Katoh | Published: 2020-12-22 | Updated: 2020-12-31
Data Deletion Algorithm
Loss Function
Machine Unlearning

Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework

Authors: Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney | Published: 2020-12-21
Optimization Methods
Machine Learning Application

Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis

Authors: Brian Coyle, Mina Doosti, Elham Kashefi, Niraj Kumar | Published: 2020-12-21
Loss Function
Machine Learning Application
Quantum Cryptanalysis

FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism

Authors: Jiasi Weng, Jian Weng, Hongwei Huang, Chengjun Cai, Cong Wang | Published: 2020-12-19
Incentive Mechanism
Membership Inference
Machine Learning Application