Browse > Adversarial > Adversarial Attack

Adversarial Attack

35 papers with code · Adversarial

State-of-the-art leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Latest papers without code

Examining Adversarial Learning against Graph-based IoT Malware Detection Systems

12 Feb 2019Ahmed Abusnaina et al

The main goal of this study is to investigate the robustness of graph-based Deep Learning (DL) models used for Internet of Things (IoT) malware classification against Adversarial Learning (AL).

ADVERSARIAL ATTACK GRAPH EMBEDDING MALWARE DETECTION

12 Feb 2019

Optimal Adversarial Attack on Autoregressive Models

1 Feb 2019Yiding Chen et al

But an adversary can modify the environment state and hence indirectly manipulate the autoregressive model forecasts.

ADVERSARIAL ATTACK TIME SERIES

01 Feb 2019

Strong Black-box Adversarial Attacks on Unsupervised Machine Learning Models

28 Jan 2019Anshuman Chhabra et al

We first provide a strong (iterative) black-box adversarial attack that can craft adversarial samples which will be incorrectly clustered irrespective of the choice of clustering algorithm.

ADVERSARIAL ATTACK LANGUAGE MODELLING

28 Jan 2019

Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack

29 Dec 2018Haishan Ye et al

In this paper, we utilize the second-order information of the objective function and propose a novel \emph{Hessian-aware zeroth-order algorithm} called \texttt{ZO-HessAware}.

ADVERSARIAL ATTACK

29 Dec 2018

Adversarial Attack and Defense on Graph Data: A Survey

26 Dec 2018Lichao Sun et al

However, recent studies have shown that DNNs are vulnerable to adversarial attack.

ADVERSARIAL ATTACK

26 Dec 2018

Practical Adversarial Attack Against Object Detector

26 Dec 2018Yue Zhao et al

In particular, the real road testing of hiding attack on a straight road and a crossing road produced the success rate of 75% and 64% respectively, and the appearing attack obtained the success rates of 63% and 81% respectively, which we believe, should catch the attention of the autonomous driving community.

ADVERSARIAL ATTACK AUTONOMOUS DRIVING

26 Dec 2018

Safety and Trustworthiness of Deep Neural Networks: A Survey

18 Dec 2018Xiaowei Huang et al

In the past few years, significant progress has been made on deep neural networks (DNNs) in achieving human-level intelligence on several long-standing tasks.

ADVERSARIAL ATTACK SELF-DRIVING CARS

18 Dec 2018

Deep-RBF Networks Revisited: Robust Classification with Rejection

7 Dec 2018Pourya Habib Zadeh et al

On the other hand, deep-RBF networks assign high confidence only to the regions containing enough feature points, but they have been discounted due to the widely-held belief that they have the vanishing gradient problem.

ADVERSARIAL ATTACK

07 Dec 2018

Towards Hiding Adversarial Examples from Network Interpretation

6 Dec 2018Akshayvarun Subramanya et al

Deep networks have been shown to be fooled rather easily using adversarial attack algorithms.

ADVERSARIAL ATTACK DECISION MAKING

06 Dec 2018

Prior Networks for Detection of Adversarial Attacks

6 Dec 2018Andrey Malinin et al

In this work, Prior Networks are applied to adversarial attack detection using measures of uncertainty in a similar fashion to Monte-Carlo Dropout.

ADVERSARIAL ATTACK

06 Dec 2018