AIセキュリティポータルbot

Fast is better than free: Revisiting adversarial training

Authors: Eric Wong, Leslie Rice, J. Zico Kolter | Published: 2020-01-12
Adversarial Example
Adversarial attack
Deep Learning Method

Simulated Blockchains for Machine Learning Traceability and Transaction Values in the Monero Network

Authors: Nathan Borggren, Hyoung-yoon Kim, Lihan Yao, Gary Koplik | Published: 2020-01-12
Data Generation
Data Management System
Machine Learning

Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators

Authors: Noah Gamboa, Kais Kudrolli, Anand Dhoot, Ardavan Pedram | Published: 2020-01-09 | Updated: 2020-01-13
Pruning Method
Robustness Evaluation
Deep Learning Method

Real-Time Edge Intelligence in the Making: A Collaborative Learning Framework via Federated Meta-Learning

Authors: Sen Lin, Guang Yang, Junshan Zhang | Published: 2020-01-09 | Updated: 2020-05-08
Convergence Analysis
Machine Learning
Communication Efficiency

Secure multiparty computations in floating-point arithmetic

Authors: Chuan Guo, Awni Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu | Published: 2020-01-09
Polynomial Approximation
Machine Learning
Linear Model

Explainable Deep Convolutional Candlestick Learner

Authors: Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur | Published: 2020-01-08 | Updated: 2020-05-29
Candlestick Pattern
Adversarial Perturbation Techniques
Machine Learning Application

To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers

Authors: Bijeeta Pal, Shruti Tople | Published: 2020-01-08
Prompt Injection
Membership Inference
Adversarial Learning

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Authors: Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang | Published: 2020-01-08 | Updated: 2022-03-14
Robustness Evaluation
Optimization Methods
Deep Learning

Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring

Authors: Sibylle Hess, Wouter Duivesteijn, Decebal Mocanu | Published: 2020-01-07
Clustering methods
Robustness Evaluation
Adversarial Learning

WAF-A-MoLE: Evading Web Application Firewalls through Adversarial Machine Learning

Authors: Luca Demetrio, Andrea Valenza, Gabriele Costa, Giovanni Lagorio | Published: 2020-01-07
Robustness Evaluation
Malicious Client
Adversarial Learning