ロバスト性

Reliable learning in challenging environments

Authors: Maria-Florina Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma | Published: 2023-04-06 | Updated: 2023-10-29
ロバスト性
最適化問題
資金提供

Design of secure and robust cognitive system for malware detection

Authors: Sanket Shukla | Published: 2022-08-03
マルウェア検出
ロバスト性
敵対的サンプル

Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection

Authors: Abderrahmen Amich, Ata Kaboudi, Birhanu Eshete | Published: 2022-06-15
ロバスト性
敵対的サンプル
敵対的攻撃手法

On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective

Authors: Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin | Published: 2022-06-14 | Updated: 2024-02-02
サンプル複雑性
ロバスト性
深層学習手法

GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing

Authors: Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song | Published: 2022-06-09 | Updated: 2022-06-29
ロバスト性
一般化の影響
深層学習手法

Building Robust Ensembles via Margin Boosting

Authors: Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala | Published: 2022-06-07
ポイズニング
ロバスト性
敵対的攻撃手法

Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples

Authors: Dongyoon Yang, Insung Kong, Yongdai Kim | Published: 2022-06-07 | Updated: 2023-06-01
ロバスト性
敵対的サンプル
敵対的攻撃手法

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing

Authors: Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han | Published: 2022-06-06 | Updated: 2022-10-22
ロバスト性
不確実性評価
強化学習環境

A Vision Inspired Neural Network for Unsupervised Anomaly Detection in Unordered Data

Authors: Nassir Mohammad | Published: 2022-05-13
ロバスト性
攻撃検出
自己教師あり学習

Designing ML-Resilient Locking at Register-Transfer Level

Authors: Dominik Sisejkovic, Luca Collini, Benjamin Tan, Christian Pilato, Ramesh Karri, Rainer Leupers | Published: 2022-03-10 | Updated: 2022-04-06
セキュリティメトリック
ロバスト性
最適化手法