AIセキュリティポータルbot

Active Learning Under Malicious Mislabeling and Poisoning Attacks

Authors: Jing Lin, Ryan Luley, Kaiqi Xiong | Published: 2021-01-01 | Updated: 2021-09-02
バックドア攻撃
ポイズニング
性能評価

Stack-based Buffer Overflow Detection using Recurrent Neural Networks

Authors: William Arild Dahl, Laszlo Erdodi, Fabio Massimo Zennaro | Published: 2020-12-30
データ生成手法
機械学習手法
研究方法論

With False Friends Like These, Who Can Notice Mistakes?

Authors: Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen | Published: 2020-12-29 | Updated: 2021-12-13
敵対的サンプル
敵対的学習
防御メカニズム

Phishing Detection through Email Embeddings

Authors: Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones | Published: 2020-12-28
メールセキュリティ
機械学習アルゴリズム
特徴エンジニアリング

Implementation of Security Systems for Detection and Prevention of Data Loss/Leakage at Organization via Traffic Inspection

Authors: Mir Hassan, Chen Jincai, Adnan Iftekhar, Adnan Shehzad, Xiaohui Cui | Published: 2020-12-28
データ管理システム
情報漏洩分析
防御メカニズム

Predicting Organizational Cybersecurity Risk: A Deep Learning Approach

Authors: Benjamin M. Ampel | Published: 2020-12-26
データラベリングの課題
機械学習アルゴリズム
研究方法論

Robustness, Privacy, and Generalization of Adversarial Training

Authors: Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao | Published: 2020-12-25
ロバスト性とプライバシーの関係
敵対的サンプル
敵対的訓練

Gradient-Free Adversarial Attacks for Bayesian Neural Networks

Authors: Matthew Yuan, Matthew Wicker, Luca Laurenti | Published: 2020-12-23
攻撃の評価
敵対的サンプル
防御手法

Selective Forgetting of Deep Networks at a Finer Level than Samples

Authors: Tomohiro Hayase, Suguru Yasutomi, Takashi Katoh | Published: 2020-12-22 | Updated: 2020-12-31
データ削除アルゴリズム
損失関数
機械学習の忘却

Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework

Authors: Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney | Published: 2020-12-21
最適化手法
機械学習の応用