AIセキュリティポータルbot

Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks

Authors: Nicolas Papernot, Patrick McDaniel, Xi Wu, Somesh Jha, Ananthram Swami | Published: 2015-11-14 | Updated: 2016-03-14
Certified Robustness
Adversarial Example
Deep Learning

$k$-means: Fighting against Degeneracy in Sequential Monte Carlo with an Application to Tracking

Authors: Kai Fan, Katherine Heller | Published: 2015-11-13
Clustering methods
Simulation Environment
Convergence Analysis

Learning with a Strong Adversary

Authors: Ruitong Huang, Bing Xu, Dale Schuurmans, Csaba Szepesvari | Published: 2015-11-10 | Updated: 2016-01-16
Relationship between Robustness and Privacy
Adversarial Learning
Deep Learning

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

Authors: Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla | Published: 2015-11-09 | Updated: 2016-10-10
Bayesian Optimization
Quantification of Uncertainty
Deep Learning Method

Sensor-based Proximity Detection in the Face of Active Adversaries

Authors: Babins Shrestha, Nitesh Saxena, Hien Thi Thu Truong, N. Asokan | Published: 2015-11-03 | Updated: 2021-04-05
Adversarial attack
Physical Adversarial Attack
Speech Signal Processing

Reviewer Integration and Performance Measurement for Malware Detection

Authors: Brad Miller, Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Rekha Bachwani, Riyaz Faizullabhoy, Ling Huang, Vaishaal Shankar, Tony Wu, George Yiu, Anthony D. Joseph, J. D. Tygar | Published: 2015-10-26 | Updated: 2016-05-27
Data Collection
Model Performance Evaluation
悪意のあるバイナリ選定

Exact Inference Techniques for the Analysis of Bayesian Attack Graphs

Authors: Luis Muñoz-González, Daniele Sgandurra, Martín Barrère, Emil Lupu | Published: 2015-10-08 | Updated: 2016-11-04
Clustering methods
Bayesian Adversarial Learning
Vulnerability detection

Supporting Regularized Logistic Regression Privately and Efficiently

Authors: Wenfa Li, Hongzhe Liu, Peng Yang, Wei Xie | Published: 2015-10-01
Privacy Risk Management
Privacy-Preserving Machine Learning
Model Performance Evaluation

Fast Sequence Component Analysis for Attack Detection in Synchrophasor Networks

Authors: Jordan Landford, Rich Meier, Richard Barella, Xinghui Zhao, Eduardo Cotilla-Sanchez, Robert B. Bass, Scott Wallace | Published: 2015-09-17
Ensemble Learning
Data Collection
Model Performance Evaluation

Fame for sale: efficient detection of fake Twitter followers

Authors: Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, Maurizio Tesconi | Published: 2015-09-14 | Updated: 2015-11-10
Data Collection
Model Performance Evaluation
Feature Selection Method