• Secure and Assured Intelligent Learning (SAIL) Lab

    @ University of New Haven

    About Us

  • Secure and Assured Intelligent Learning (SAIL) Lab

    @ University of New Haven

    About Us

  • Secure and Assured Intelligent Learning (SAIL) Lab

    @ University of New Haven

    About Us


About Us

The Secure and Assured Intelligent Learning (SAIL) lab works towards laying concrete foundations for the safety and security of intelligent machines with both theoretical and engineering perspectives. Our research aspires to develop comprehensive models, metrics, frameworks, and tools for analysis, implementation, and mitigation of deleterious behaviors in AI systems.

In The Media

26 Mar 2023 ticker|NEWS: Space 2.0: the new frontier in space travel …
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17 Feb 2023 Eyewitness News 3 : Tesla Recall …
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8 Feb 2023 Eyewitness News 3: Risks of oversharing on social media …
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6 Feb 2023 NECN: Is TikTok A Threat To Americans …
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4 Feb 2023 Cybersecurity: What steps are Long Island towns, villages, cities taking after Suffolk ransomware attack? …
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30 Dec 2022 Wicc 600 AM: Connecticut Today with Paul Pacelli: Controversy In Darien? …
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Latest Events

Presenters: Seyed Sajjadi (Founder & CEO nFlux AI, NASA Engineer, Artificial Intelligence Consultant), Time: Monday 04/17/2023, 3:30 PM – 4:30 …
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Presenters: Nancirose Piazza (PhD Candidate- SAIL Lab), Bibek Upadhayay(PhD Candidate – SAIL Lab), Ronnie Scarpa , (Research Assistant-SAIL LAB)Time: Tuesday …
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Presenter: Bibek Upadhayay(PhD Candidate – SAIL Lab)Time: Friday 03/31/2023, 12 pm – 1 pm ET Place: Buckman 233ARecording: TBA Abstract: …
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Presenter: Binesh Kumar (PhD Candidate – SAIL Lab)Time: Friday 03/07/2023, 5pm – 6pm ETRecording: TBA Abstract: Cancer is one of …
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News

The SAIL lab has been investigating the security of Brain-Computer Interfaces (BCIs) for the past 2+ years, with multiple rounds …
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MITRE/UNH Public Release: Starting in September 2022, the SAIL lab has been working with the MITRE Corporation on a project …
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Charger Mars Rover:As you may be aware, our Robotics Club is competing in the University Mars Rover Challenge for the …
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Congratulations on the acceptance of your paper titled “A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication” …
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Congratulations on the acceptance of your paper titled “Stochastic Induction of Decision Trees with Application to Learning Haar Tree ” …
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FAULT DETECTION AND PROGNOSIS IN MEDICAL DEVICES

The medical device industry is leaping forward by relying on electronics to improve life-saving medical devices’ safety and performance.

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ADVERSARY ENGAGEMENT ONTOLOGY

Adversary Engagement Ontology (AEO) is a subset of the Unified Cyber Ontology that aims to define and standardize the representation of

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ADVERSARIAL ATTACK ON EEG-BASED BCI DEVICES

This project investigates whether Motor Imagery (MI) BCIs are vulnerable to Adversarial Stimuli, which are minor sensory perturbations.

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DECEPTION IN MULTI-AGENT SYSTEMS

Multi-Agent Systems (MAS) is the study of multi-agent interactions in a shared environment. Communication for cooperation is a fundamental construct for sharing information in partially observable environments

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