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Availability Attacks Create Shortcuts 22

Availability Attacks Create Shortcuts

引用

28th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KKD)

作者： Yu, Da Zhang, Huishuai Chen, Wei Yin, Jian Liu, Tie-Yan Sun Yat Sen Univ Guangzhou Peoples R China Microsoft Res Asia Beijing Peoples R China Chinese Acad Sci Beijing Peoples R China

ISBN: (纸本)9781450393850

Availability attacks1, which poison the training data with imperceptible perturbations, can make the data not exploitable by machine learning algorithms so as to prevent unauthorized use of data. In this work, we investigate why these perturbations work in principle. We are the first to unveil an important population property of the perturbations of these attacks: they are almost linearly separable when assigned with the target labels of the corresponding samples, which hence can work as shortcuts for learning the objective. We further verify that linear separability is indeed the workhorse for availability attacks. We synthesize linearly-separable perturbations as attacks and show that they are as powerful as the deliberately crafted attacks. Moreover, such synthetic perturbations are much easier to generate. For example, previous attacks need dozens of hours to generate perturbations for ImageNet while our algorithm only needs several seconds. Our finding also suggests that the shortcut learning occurs more widely than previously believed as deep models would rely on shortcuts even if they are of an imperceptible scale and mixed together with the normal features. Our source code is published at https://***/dayu11/Availability-Attacks- Create-Shortcuts.

关键词： data security data poisoning shortcut learning

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2022 International conference on Advanced Electronics, Electrical and Green Energy, AEEGE 2022

2022 International Conference on Advanced Electronics, Elect...

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2022 International conference on Advanced Electronics, Electrical and Green Energy, AEEGE 2022

The proceedings contain 30 papers. The topics discussed include: mathematical optimization model on BP neural network for the preparation of C4 olefins by ethanol coupling;research on modeling and simulation of GIS disconnector based on visualization technology;a framework of distributed solar blockchain as a service;evolutionary game study on the supervision strategy in the operation phase of green public buildings based on system dynamics simulation;machine learning road recognition based on wavelet decomposition;study on a novel knowledge service method based on the knowledge graph in the domain of substation;analysis of the image perception of luxury hotels based on UGC data and customer value theory;fault diagnosis algorithms of distribution network based on convolutional neural network;stakeholder identification and analysis in the whole county photovoltaic project under the dual-carbon background;and optimal scheduling method of integrated energy system in parks considering wind and solar energy consumption.

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Image Analysis using Deep learning for a Smart Traffic Control System 22

Image Analysis using Deep Learning for a Smart Traffic Contr...

引用

2nd International conference on computing Advancements: Age of computing and Augmented Life, ICCA 2022

作者： Paul, Sourav Alam, S.M Rafi Sunny, Md. Orun Rahman, Shaila Al Omar, Abdullah Department of CSE University of Asia Pacific - UAP Dhaka Bangladesh

ISBN: (纸本)9781450397346

Bangladesh is rapidly getting urbanized. Recently traffic jams are caused mainly because of the growing number of motorcycles and cars and it implies the violation of traffic in Dhaka City. It causes severe destruction of property and more accidents that may endanger the living of the people. Due to recent incidents, it is very risky for pedestrians and drivers to consider full safety on the road. In this research, we present the construction of a system that makes the traffic sector easier than for the traffic police to operate the system, monitor traffic violations, and take action against the violations of traffic rules. Usually, traffic rules and signal violations are monitored via traffic camera by traffic police, or sometimes it is monitored manually. However, if motor vehicle users engage in any unethical behavior, the traffic police will have a difficult time detecting it. As a result, it would be highly beneficial if machine intelligence could assist traffic police in maintaining Dhaka City's traffic integrity. The system can classify traffic violations at a street intersection and investigate effective engagement strategies to identify traffic rule violations. We are using the transfer learning technique which is a surveillance system that uses two types of pre-trained CNN keras application models which names VGG16 and ResNet50 on images to read and detect the vehicles, helmet identification, no helmet identification, and bike triple riding. Our dataset is available online and presented in the paper. The Kaggle repository name is "traffic-violation-dataset-v3". [21] © 2022 ACM.

关键词： Image classification

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International conference on Intelligent Systems and Sustainable computing, ICISSC 2021

International Conference on Intelligent Systems and Sustaina...

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International conference on Intelligent Systems and Sustainable computing, ICISSC 2021

ISBN: (纸本)9789811900105

The proceedings contain 60 papers. The special focus in this conference is on Intelligent Systems and Sustainable computing. The topics include: Mapping of Computational Social Science Research Themes: A Two-Decade Review;Efficiency Analysis of Pre-trained CNN Models as Feature Extractors for Video Emotion Recognition;detection of Fake News Using Natural Language Processing Techniques and Passive Aggressive Classifier;machine learning-Based Human Activity Recognition Using Smartphones;a New Supervised Term Weight Measure Based machine learning Approach for Text Classification;A Novel ARDUINO Based Self-Defense Shoe for Women Safety and Security;rare Pattern Mining from Data Stream Using Hash-Based Search and Vertical Mining;comparative Evaluation of machine learning Methods for Network Intrusion Detection System;zero-Day Attack Detection Analysis in Streaming Data Using Supervised learning Techniques;an Autonomous Intelligent System to Leverage the Post-harvest Agricultural Process Using Localization and Mapping;machine learning-Based Framework for Malware Analysis in Android Apps;landslide Susceptibility for Communities Based on Satellite Images Using Deep learning algorithms;speech Intelligibility Quality in Telugu Speech Patterns Using a Wavelet-Based Hybrid Threshold Transform Method;design of Delay-Efficient Carry-Save Multiplier by Structural Decomposition of Conventional Carry-Save Multiplier;cloud-Based Face and Face Mask Detection System;greenput Algorithm for Minimizing Power and Energy Consumption in Hybrid Wireless Sensor Networks;automatic Student Attendance and Activeness Monitoring System;analyzing and Detecting Fake News Using Convolutional Neural Networks Considering News Categories Along with Temporal Interpreter;traffic Density Determination Using Advanced Computer Vision;artificially Ripened Mango Fruit Prediction System Using Convolutional Neural Network;preface;Juvenile Crime Categorization with EM Clustering.

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12th International conference on Applications and Technologies in Information Security, ATIS 2021

12th International Conference on Applications and Technologi...

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12th International conference on Applications and Technologies in Information Security, ATIS 2021

ISBN: (纸本)9789811911651

The proceedings contain 13 papers. The special focus in this conference is on Applications and Technologies in Information Security. The topics include: A Novel SDN-Based IOT Security Architecture Model for Big Data;cloud Effects on Organisational Performance: A Local Government Perspective;RTOS Based Embedded Solution for Multi-purpose Radio Frequency Communication;research on Interlayer Recognition Based on Intelligent Optimization algorithms and Convolutional Neural Networks;Near Real-Time Federated machine learning Approach Over Chest Computed Tomography for COVID-19 Diagnosis;risk Prediction in Real Estate Investment to Protect Against Asset Bubbles;cognitive Artificial Intelligence computing Modeling Process in Meta Cognitive Architecture Carina;effectiveness of the Use of Golden Ratio in Identifying Similar Faces Using Ensemble learning;detecting Anomalies in Natural Gas Production: A Boosting Tree Based Model;a Framework Based Isolation Forest for Detecting Anomalies in Natural Gas Production;A Survey of BGP Anomaly Detection Using machine learning Techniques.

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9th International conference on Frontiers in Intelligent computing: Theory and Applications, FICTA 2021

9th International Conference on Frontiers in Intelligent Com...

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9th International conference on Frontiers in Intelligent computing: Theory and Applications, FICTA 2021

ISBN: (纸本)9789811666230

The proceedings contain 54 papers. The special focus in this conference is on Frontiers in Intelligent computing: Theory and Applications. The topics include: Image GPT with Super Resolution;boosting Accuracy of machine learning Classifiers for Heart Disease Forecasting;rapid Detection of Fragile X Syndrome: A Gateway Towards Modern Algorithmic Approach;summarizing Bengali Text: An Extractive Approach;dynamic Hand Gesture Recognition of the Days of a Week in Indian Sign Language Using Low-Cost Depth Device;sentiment Analysis on Telugu–English Code-Mixed Data;fuzziness on Interconnection Networks Under Ratio Labelling;CoviNet: Role of Convolution Neural Networks (CNN) for an Efficient Diagnosis of COVID-19;deep learning for Real-Time Diagnosis of Pest and Diseases on Crops;information Retrieval for Cloud Forensics;Sentiment-Based Abstractive Text Summarization Using Attention Oriented LSTM Model;a Fuzzy-Based Multiobjective Cat Swarm Optimization Algorithm: A Case Study on Single-Cell Data;KTM-POP: Transliteration of K-POP Lyrics to Marathi;a Comparative Study on the Use of Augmented Reality in Indoor Positioning Systems and Navigation;Classification of Chest X-Ray Images to Diagnose COVID-19 Disease Through Transfer learning;remodeling Rainfall Prediction Using Artificial Neural Network and machine learning algorithms;gender-Based Emotion Recognition: A machine learning Technique;an Efficient Exploratory Demographic Data Analytics Using Preprocessed Autoregressive Integrated Moving Average;Classification of VASA Dataset Using J48, Random Forest, and Naive Bayes;efficient Fault-Tolerant Cluster-Based Approach for Wireless Sensor Networks;machine Translation System Combination with Enhanced Alignments Using Word Embeddings;from Chalk Boards to Smart Boards: An Integration of IoT into Educational Environment During Covid-19 Pandemic;design and Development of an IoT-Based Smart Hexa-Copter for Multidisciplinary Applications;biogeography-Based Optimization.

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9th International conference on Frontiers in Intelligent computing: Theory and Applications, FICTA 2021

9th International Conference on Frontiers in Intelligent Com...

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9th International conference on Frontiers in Intelligent computing: Theory and Applications, FICTA 2021

ISBN: (纸本)9789811666155

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International conference on Big Data and Cloud computing, ICBDCC 2021

International Conference on Big Data and Cloud Computing, IC...

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International conference on Big Data and Cloud computing, ICBDCC 2021

ISBN: (纸本)9789811921766

The proceedings contain 81 papers. The special focus in this conference is on Big Data and Cloud computing. The topics include: Blockchain for CCTV Surveillance;Intelligent Traffic Management System Using YOLO machine learning Model;ioT-Based Security Camera Bot Using Raspberry Pi;performance Analysis of Different Deep learning Models for Forest Fire Classification;Secure GEDAR Routing Protocol for Underwater Data Collection Using WSN;a Comprehensive Review on Automatic Image Captioning Using Deep learning;A GAN-Based Triplet FaceNet Detection Algorithm Using Deep Face Recognition for Autism Child;Rapid Efficient Loss Less Color Image Compression Using RCT Technique and Hierarchical Prediction;anonymized Questionnaire Analysis with Differential Privacy for Large-Scale Crowdsourcing;design and Development of Web-based Photoplethysmogram Signal Monitoring and Human Vital Parameters Measurement;smart Fetal Health Monitor;event Location Detection from Online Clustering algorithms Using Geo-Tagged User Data in Social Streams;smart Cyberbullying Detection with machine learning;tourist Sentiment Analysis Using Natural Language Processing;sentiment Analysis of Twitter Data Using machine learning;comparative Study on Recognition of Food Item from Images for Analyzing the Nutritional Contents;shot Boundary Detection and Video Captioning Using Neural Networks;Ensuring the Presence of a Person During Virtual Classes Using Histogram of Oriented Gradients (HOG) Algorithm;an Optimized K-means Clustering Approach on Top of MapReduce;identification of Alzheimer’s Disease Using Principal Component Analysis-Based Data Mining Techniques;Dew computing-Inspired Mental Health Monitoring System Framework Powered by a Lightweight CNN;feature Dimensionality Reduction Method on Social Network Dataset;Internet of Things (IoT) for Coronavirus (COVID-19) Pandemic: A Survey on Trailblazing Techniques;optical Character Recognition-Based Signboard Detection.

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5th International conference on Smart computing and Informatics, SCI 2021

5th International Conference on Smart Computing and Informat...

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5th International conference on Smart computing and Informatics, SCI 2021

ISBN: (纸本)9789811696688

The proceedings contain 58 papers. The special focus in this conference is on Smart computing and Informatics. The topics include: QCA-Based Error Detection Circuit for Nanocommunication Network;evaluating Performance on Covid-19 Tweet Sentiment Analysis Outbreak Using Support Vector machine;minimum Simplex Nonlinear Nonnegative Matrix Factorization for Hyperspectral Unmixing;prediction and Analysis of Vitamin D Deficiency Using machine learning algorithms;student Performance Prediction Using Classification Models;estimating Driver Attentiveness Through Head Pose Using Hybrid Geometric-Based Method;IIWSCOA-Based DCNN: Improved Invasive Weed Sine Cosine Optimization Algorithm for Early Detection of Myocardial Infarction Using Deep Convolution Neural Network;intrusion Detection Using Support Vector machine and Artificial Neural Network;student’s Academic Performance Prediction Using Ensemble Methods Through Educational Data Mining;A Flexible Accession on Brain Tumour Detection and Classification Using VGG16 Model;check Certificate—A Certificate Verification Platform for Students and Organizations;secure Cluster-Based Routing Using Modified Spider Monkey Optimization for Wireless Sensor Networks;ChefAI Text to Instructional Visualization Using Amazon Web Services;Identification of Predominant Genes that Causes Autism Using MLP;Detecting Impersonators in Examination Halls Using AI;telugu Text Classification Using Supervised machine learning Algorithm;Application of Hybrid MLP-GWO for Monthly Rainfall Forecasting in Cachar, Assam: A Case Study;Temperature Prediction Using Hybrid MLP-GOA Algorithm in Keonjhar, Odisha: A Case Study;development of Different Word Vectors and Testing Using Text Classification algorithms for Telugu;addressing Longtail Problem using Adaptive Clustering for Music Recommendation System;A Proficient GK-KMA Based Segmentation and Lung Nodule Detection in CT Images Using PTRNN;framework for Diabetic Retinopathy Classification.

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Proceedings of 2022 6th International conference on Condition Assessment Techniques in Electrical Systems, CATCON 2022

Proceedings of 2022 6th International Conference on Conditio...

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6th IEEE International conference on Condition Assessment Techniques in Electrical Systems, CATCON 2022

ISBN: (纸本)9781665473804

The proceedings contain 91 papers. The topics discussed include: assessment of blockchain based energy trading methods for electric vehicles;planning and monitoring of smart grid architecture using internet of things;transformer faults detection using inrush transients based on multi-class SVM;performance assessment of distance relay owing to uncertain source impedance disparity with large wind power integration;a data-driven diagnosis and prognosis method for machinery tools based on EMD and dual-task deep neural networks;smart meter data analytics – load identification and abnormality detection using computational algorithms: a case study;placement of EV fast charging station in distribution system based on voltage stability index strategy;study and analysis of various partial discharge signals classification using machine learning application;fault diagnosis in power transmission line using decision tree and random forest classifier;bio inspired computing based optimization of power loss in radial distribution systems;and fuzzy risk assessment of underground power distribution network cables based on geo-analytical fault vulnerability.

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