敵対的学習

Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet

Authors: Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang | Published: 2020-01-16 | Updated: 2020-10-21
敵対的学習
敵対的攻撃検出
研究方法論

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

Authors: Bijeeta Pal, Shruti Tople | Published: 2020-01-08
プロンプトインジェクション
メンバーシップ推論
敵対的学習

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
クラスタリング手法
ロバスト性に関する評価
敵対的学習

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

Authors: Luca Demetrio, Andrea Valenza, Gabriele Costa, Giovanni Lagorio | Published: 2020-01-07
ロバスト性に関する評価
悪意のあるクライアント
敵対的学習

Generating Semantic Adversarial Examples via Feature Manipulation

Authors: Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen | Published: 2020-01-06 | Updated: 2022-05-20
データ生成
敵対的サンプル
敵対的学習

Toward Optimal Adversarial Policies in the Multiplicative Learning System with a Malicious Expert

Authors: S. Rasoul Etesami, Negar Kiyavash, Vincent Leon, H. Vincent Poor | Published: 2020-01-02 | Updated: 2020-09-18
敵対的学習
最適化手法
統計的手法

ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense

Authors: Ying Meng, Jianhai Su, Jason O'Kane, Pooyan Jamshidi | Published: 2020-01-02 | Updated: 2020-10-16
敵対的学習
透かし評価
防御手法の効果分析

Face X-ray for More General Face Forgery Detection

Authors: Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, Baining Guo | Published: 2019-12-31 | Updated: 2020-04-19
アルゴリズム
ディープフェイクの検知
敵対的学習

Adversarial Example Generation using Evolutionary Multi-objective Optimization

Authors: Takahiro Suzuki, Shingo Takeshita, Satoshi Ono | Published: 2019-12-30
効果的な摂動手法
多目的最適化
敵対的学習

Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks

Authors: Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis | Published: 2019-12-29 | Updated: 2021-02-03
SGDの特性
ロバスト性に関する評価
敵対的学習