Publication

DISTINGUISHING “CROWDED” ORGANIZATIONS FROM GROUPS AND COMMUNITIES: IS THREE A CROWD?

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

DISTINGUISHING “CROWDED” ORGANIZATIONS FROM GROUPS AND COMMUNITIES: IS THREE A CROWD?

Graph Chatbot

Chat with Graph Search

When Your AI Becomes a Target: AI Security Incidents and Best Practices

Content Moderation in Online Platforms

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

On the Theory and Practice of Modern Secure Messaging

Diversity and neocolonialism in Big Data research: Avoiding extractivism while struggling with paternalism

An anomaly detection approach for backdoored neural networks: face recognition as a case study

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Are GAN-based Morphs Threatening Face Recognition?

IMPROVING CROSS-DATASET PERFORMANCE OF FACE PRESENTATION ATTACK DETECTION SYSTEMS USING FACE RECOGNITION DATASETS

Crowd Dynamics in Internal Crowdsourcing: Insights From Challenges in Management Higher Education

When Your AI Becomes a Target: AI Security Incidents and Best Practices

Content Moderation in Online Platforms

Are GAN-based Morphs Threatening Face Recognition?

On the Theory and Practice of Modern Secure Messaging

Diversity and neocolonialism in Big Data research: Avoiding extractivism while struggling with paternalism

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

IMPROVING CROSS-DATASET PERFORMANCE OF FACE PRESENTATION ATTACK DETECTION SYSTEMS USING FACE RECOGNITION DATASETS

Crowd Dynamics in Internal Crowdsourcing: Insights From Challenges in Management Higher Education

An anomaly detection approach for backdoored neural networks: face recognition as a case study

An anomaly detection approach for backdoored neural networks: face recognition as a case study