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01/27/2023
Projected Subnetworks Scale Adaptation
Large models support great zero-shot and few-shot capabilities. However,...
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11/15/2022
Cross-Reality Re-Rendering: Manipulating between Digital and Physical Realities
The advent of personalized reality has arrived. Rapid development in AR/...
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09/29/2022
Multiple Modes for Continual Learning
Adapting model parameters to incoming streams of data is a crucial facto...
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05/19/2022
Interpolating Compressed Parameter Subspaces
Inspired by recent work on neural subspaces and mode connectivity, we re...
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05/15/2022
Parameter Adaptation for Joint Distribution Shifts
While different methods exist to tackle distinct types of distribution s...
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05/02/2022
Imagining, Studying and Realising A Less Harmful App Ecosystem
Desktop browser extensions have long allowed users to improve their expe...
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04/07/2022
GreaseVision: Rewriting the Rules of the Interface
Digital harms can manifest across any interface. Key problems in address...
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03/07/2022
Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks
Recent exploration of the multi-agent backdoor attack demonstrated the b...
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01/28/2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire
Malicious agents in collaborative learning and outsourced data collectio...
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01/24/2022
Hiding Behind Backdoors: Self-Obfuscation Against Generative Models
Attack vectors that compromise machine learning pipelines in the physica...
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12/20/2021
Mind-proofing Your Phone: Navigating the Digital Minefield with GreaseTerminator
Digital harms are widespread in the mobile ecosystem. As these devices g...
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10/09/2021
Widen The Backdoor To Let More Attackers In
As collaborative learning and the outsourcing of data collection become ...
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02/23/2021
I Want My App That Way: Reclaiming Sovereignty Over Personal Devices
Dark patterns in mobile apps take advantage of cognitive biases of end-u...
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09/03/2019