防御手法

TensorShield: Tensor-based Defense Against Adversarial Attacks on Images

Authors: Negin Entezari, Evangelos E. Papalexakis | Published: 2020-02-18
性能評価
敵対的サンプル
防御手法

Data and Model Dependencies of Membership Inference Attack

Authors: Shakila Mahjabin Tonni, Dinusha Vatsalan, Farhad Farokhi, Dali Kaafar, Zhigang Lu, Gioacchino Tangari | Published: 2020-02-17 | Updated: 2020-07-25
トレーニング手法
モデル選択手法
防御手法

Undersensitivity in Neural Reading Comprehension

Authors: Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel | Published: 2020-02-15
トレーニング手法
脆弱性攻撃手法
防御手法

Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets

Authors: Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma | Published: 2020-02-14
ポイズニング
敵対的攻撃検出
防御手法

Politics of Adversarial Machine Learning

Authors: Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar | Published: 2020-02-01 | Updated: 2020-04-26
メンバーシップ推論
人権と技術
防御手法

Adversarial Robustness Assessment: Why both $L_0$ and $L_\infty$ Attacks Are Necessary

Authors: Shashank Kotyan, Danilo Vasconcellos Vargas | Published: 2019-06-14 | Updated: 2020-07-16
敵対的サンプル
敵対的学習
防御手法

Deep Reinforcement Learning for Cyber Security

Authors: Thanh Thi Nguyen, Vijay Janapa Reddi | Published: 2019-06-13 | Updated: 2021-11-02
サイバーセキュリティの自動化
深層強化学習
防御手法

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Authors: Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin | Published: 2019-06-10 | Updated: 2019-10-14
敵対的学習
最適化アルゴリズムの選択と評価
防御手法

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Authors: Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya Razenshteyn, Sebastien Bubeck | Published: 2019-06-09 | Updated: 2020-01-10
ポイズニング
敵対的学習
防御手法

Adversarial Attack Generation Empowered by Min-Max Optimization

Authors: Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li | Published: 2019-06-09 | Updated: 2021-11-01
敵対的学習
深層学習
防御手法