Graph Bugs

Data Skeptic · Intermediate ·📊 Data Analytics & Business Intelligence ·1y ago
In this episode today’s guest is Celine Wüst, a master’s student at ETH Zurich specializing in secure and reliable systems, shares her work on automated software testing for graph databases. Celine shows how fuzzing—the process of automatically generating complex queries—helps uncover hidden bugs in graph database management systems like Neo4j, FalconDB, and Apache AGE. Key insights include how state-aware query generation can detect critical issues like buffer overflows and crashes, the challenges of debugging complex database behaviors, and the importance of security-focused software testing. We'll also find out which Graph DB company offers swag for finding bugs in its software and get Celine's advice about which graph DB to use. ------------------------------- Want to listen ad-free? Try our Graphs Course? Join Data Skeptic+ for $5 / month of $50 / year https://plus.dataskeptic.com
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Data Skeptic · Data Skeptic · 0 of 60

← Previous Next →
1 Data Skeptic book giveaway contest winner selection
Data Skeptic book giveaway contest winner selection
Data Skeptic
2 OpenHouse - Front end and API overview
OpenHouse - Front end and API overview
Data Skeptic
3 OpenHouse Crawling with AWS Lambda
OpenHouse Crawling with AWS Lambda
Data Skeptic
4 [MINI] Logistic Regression on Audio Data
[MINI] Logistic Regression on Audio Data
Data Skeptic
5 Data Provenance and Reproducibility with Pachyderm
Data Provenance and Reproducibility with Pachyderm
Data Skeptic
6 [MINI] Primer on Deep Learning
[MINI] Primer on Deep Learning
Data Skeptic
7 Big Data Tools and Trends
Big Data Tools and Trends
Data Skeptic
8 [MINI] Automated Feature Engineering
[MINI] Automated Feature Engineering
Data Skeptic
9 The Data Refuge Project
The Data Refuge Project
Data Skeptic
10 [MINI] The Perceptron
[MINI] The Perceptron
Data Skeptic
11 [MINI] Feed Forward Neural Networks
[MINI] Feed Forward Neural Networks
Data Skeptic
12 Data Science at Patreon
Data Science at Patreon
Data Skeptic
13 [MINI] Backpropagation
[MINI] Backpropagation
Data Skeptic
14 [MINI] GPU CPU
[MINI] GPU CPU
Data Skeptic
15 OpenHouse
OpenHouse
Data Skeptic
16 [MINI] Generative Adversarial Networks
[MINI] Generative Adversarial Networks
Data Skeptic
17 [MINI] AdaBoost
[MINI] AdaBoost
Data Skeptic
18 [MINI] The Bootstrap
[MINI] The Bootstrap
Data Skeptic
19 [MINI] Dropout
[MINI] Dropout
Data Skeptic
20 [MINI] Gini Coefficients
[MINI] Gini Coefficients
Data Skeptic
21 [MINI] Random Forest
[MINI] Random Forest
Data Skeptic
22 [MINI] Heteroskedasticity
[MINI] Heteroskedasticity
Data Skeptic
23 [MINI] ANOVA
[MINI] ANOVA
Data Skeptic
24 Urban Congestion
Urban Congestion
Data Skeptic
25 [MINI] The CAP Theorem
[MINI] The CAP Theorem
Data Skeptic
26 Unstructured Data for Finance
Unstructured Data for Finance
Data Skeptic
27 Detecting Terrorists with Facial Recognition?
Detecting Terrorists with Facial Recognition?
Data Skeptic
28 Predictive Models on Random Data
Predictive Models on Random Data
Data Skeptic
29 [MINI] Entropy
[MINI] Entropy
Data Skeptic
30 [MINI] F1 Score
[MINI] F1 Score
Data Skeptic
31 Causal Impact
Causal Impact
Data Skeptic
32 Machine Learning on Images with Noisy Human-centric Labels
Machine Learning on Images with Noisy Human-centric Labels
Data Skeptic
33 The Library Problem
The Library Problem
Data Skeptic
34 Stealing Models from the Cloud
Stealing Models from the Cloud
Data Skeptic
35 Data Science at eHarmony
Data Science at eHarmony
Data Skeptic
36 Multiple Comparisons and Conversion Optimization
Multiple Comparisons and Conversion Optimization
Data Skeptic
37 Election Predictions
Election Predictions
Data Skeptic
38 [MINI] Calculating Feature Importance
[MINI] Calculating Feature Importance
Data Skeptic
39 MS Connect Conference
MS Connect Conference
Data Skeptic
40 Music21
Music21
Data Skeptic
41 The Police Data and the Data Driven Justice Initiatives
The Police Data and the Data Driven Justice Initiatives
Data Skeptic
42 Studying Competition and Gender Through Chess
Studying Competition and Gender Through Chess
Data Skeptic
43 [MINI] Goodhart's Law
[MINI] Goodhart's Law
Data Skeptic
44 Trusting Machine Learning Models with LIME
Trusting Machine Learning Models with LIME
Data Skeptic
45 [MINI] Leakage
[MINI] Leakage
Data Skeptic
46 Predictive Policing
Predictive Policing
Data Skeptic
47 Mutli-Agent Diverse Generative Adversarial Networks
Mutli-Agent Diverse Generative Adversarial Networks
Data Skeptic
48 [MINI] Convolutional Neural Networks
[MINI] Convolutional Neural Networks
Data Skeptic
49 Unsupervised Depth Perception
Unsupervised Depth Perception
Data Skeptic
50 [MINI] Max-pooling
[MINI] Max-pooling
Data Skeptic
51 MS Build 2017
MS Build 2017
Data Skeptic
52 Activation Functions
Activation Functions
Data Skeptic
53 Doctor AI
Doctor AI
Data Skeptic
54 [MINI] The Vanishing Gradient
[MINI] The Vanishing Gradient
Data Skeptic
55 CosmosDB
CosmosDB
Data Skeptic
56 Estimating Sheep Pain with Facial Recognition
Estimating Sheep Pain with Facial Recognition
Data Skeptic
57 [MINI] Conditional Independence
[MINI] Conditional Independence
Data Skeptic
58 MINI: Bayesian Belief Networks
MINI: Bayesian Belief Networks
Data Skeptic
59 Project Common Voice
Project Common Voice
Data Skeptic
60 [MINI] Recurrent Neural Networks
[MINI] Recurrent Neural Networks
Data Skeptic

Related AI Lessons

Managing Permissions Directly via SQL in BigQuery
Manage BigQuery permissions directly via SQL to streamline LLM inference workflows
Medium · Data Science
Data’s Best Decade is Ahead. Most Companies Are Looking at it Wrong.
Learn how to leverage data correctly to drive business decisions and stay ahead in the industry
Medium · AI
Data’s Best Decade is Ahead. Most Companies Are Looking at it Wrong.
Learn how to leverage data effectively to drive business decisions and unlock its full potential in the upcoming decade
Medium · Machine Learning
Data’s Best Decade is Ahead. Most Companies Are Looking at it Wrong.
Learn how to leverage data effectively by shifting focus from reporting to decision-making, a crucial skill for companies to thrive in the upcoming decade
Medium · Data Science
Up next
Hedge Fund Performance and Risk Metrics
Coursera
Watch →