Spain

ECAI 2020

Abstract Interpretation based Robustness Certification for Graph Convolutional Networks

robustness certification

graph convolutional networks

adversarial example

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

Object Allocation and Positive Graph Externalities

Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection

Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors

Dedge AGMNet

An ASP semantics for Constraints involving Conditional Aggregates

Implementing Dynamic Answer Set Programming over finite traces

Robust Constraint Acquisition by Sequential Analysis

Strong Refinements for Hard Problems in Argumentation Dynamics

Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting

Polynomial-time Implicit Learnability in SMT

https://d3smihljt9218e.cloudfront.net/transcript/1210/subtitle/756cbee4417c3a66ed65a986f6f125b7.vtt

English (automatic)

Abstract Interpretation based Robustness Certification for Graph Convolutional Networks

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Object Allocation and Positive Graph Externalities

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Black-box Adversarial Attack on Time Series Classification

Abstract Interpretation based Robustness Certification for Graph Convolutional Networks

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Next from ECAI 2020

Object Allocation and Positive Graph Externalities

Similar lecture

Black-box Adversarial Attack on Time Series Classification

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