Main Overview Notes: Authors: Makoto Yuito, Kenta Suzuki and Kazuki Yoneyama Abstract: Adversarial examples are one of the largest vulnerability of ... Authors: Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li Description: Machine learning (ML), especially deep neural ...

Qeba Query Efficient Boundary Based Blackbox Attack - TV Reference Context

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Authors: Makoto Yuito, Kenta Suzuki and Kazuki Yoneyama Abstract: Adversarial examples are one of the largest vulnerability of ... Authors: Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li Description: Machine learning (ML), especially deep neural ...

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  • Authors: Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li Description: Machine learning (ML), especially deep neural ...
  • Authors: Makoto Yuito, Kenta Suzuki and Kazuki Yoneyama Abstract: Adversarial examples are one of the largest vulnerability of ...

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QEBA: Query-Efficient Boundary-Based Blackbox Attack

QEBA: Query-Efficient Boundary-Based Blackbox Attack

Authors: Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li Description: Machine learning (ML), especially deep neural ...

5A 5 Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers

5A 5 Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers

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ICICS 2022: Query-Efficient Black-box Adversarial Attack with Random Pattern Noises

ICICS 2022: Query-Efficient Black-box Adversarial Attack with Random Pattern Noises

Authors: Makoto Yuito, Kenta Suzuki and Kazuki Yoneyama Abstract: Adversarial examples are one of the largest vulnerability of ...

HopSkipJumpAttack: A Query-Efficient Decision-Based Attack

HopSkipJumpAttack: A Query-Efficient Decision-Based Attack

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DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks (Video, ESEC/FSE 2020)

DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks (Video, ESEC/FSE 2020)

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Biased Boundary Attack comparison (3/3)

Biased Boundary Attack comparison (3/3)

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Biased Boundary Attack comparison (2/3)

Biased Boundary Attack comparison (2/3)

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Biased Boundary Attack comparison (1/3)

Biased Boundary Attack comparison (1/3)

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Hard-Label Based Small Query Black-Box Adversarial Attack

Hard-Label Based Small Query Black-Box Adversarial Attack

Experiments show the proposed method significantly improves the

Black-Box Attacks | Lecture 18 (Part 2) | Applied Deep Learning (Supplementary)

Black-Box Attacks | Lecture 18 (Part 2) | Applied Deep Learning (Supplementary)

Read more details and related context about Black-Box Attacks | Lecture 18 (Part 2) | Applied Deep Learning (Supplementary).