activity
20192026
most citedI Want My App That Way: Reclaiming Sovereignty Over Personal Devices

26 citations · 42 across the 20 of their papers we have counts for

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Showing 2022Show all

10 papers · 1 filter

cs.CV2022

Cross-Reality Re-Rendering: Manipulating between Digital and Physical Realities

Siddhartha Datta

The advent of personalized reality has arrived. Rapid development in AR/MR/VR enables users to augment or diminish their perception of the physical world. Robust tooling for digita…

cs.LG2022

Multiple Modes for Continual Learning

Siddhartha Datta, Nigel Shadbolt

Adapting model parameters to incoming streams of data is a crucial factor to deep learning scalability. Interestingly, prior continual learning strategies in online settings inadve…

cs.LG2022

Interpolating Compressed Parameter Subspaces

Siddhartha Datta, Nigel Shadbolt

Inspired by recent work on neural subspaces and mode connectivity, we revisit parameter subspace sampling for shifted and/or interpolatable input distributions (instead of a single…

cs.LG2022★ 1 cited

Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks

Siddhartha Datta

Recent work in black-box adversarial attacks for NLP systems has attracted much attention. Prior black-box attacks assume that attackers can observe output labels from target model…

cs.HC2022

Imagining, Studying and Realising A Less Harmful App Ecosystem

Konrad Kollnig, Siddhartha Datta, Nigel Shadbolt

Desktop browser extensions have long allowed users to improve their experience online and tackle widespread harms on websites. So far, no equivalent solution exists for mobile apps…

cs.HC2022

GreaseVision: Rewriting the Rules of the Interface

Siddhartha Datta, Konrad Kollnig, Nigel Shadbolt

Digital harms can manifest across any interface. Key problems in addressing these harms include the high individuality of harms and the fast-changing nature of digital systems. As…

cs.LG2022★ 2 cited

Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks

Siddhartha Datta, Nigel Shadbolt

Recent exploration of the multi-agent backdoor attack demonstrated the backfiring effect, a natural defense against backdoor attacks where backdoored inputs are randomly classified…

cs.HC2022★ 7 cited

Mind-proofing Your Phone: Navigating the Digital Minefield with GreaseTerminator

Siddhartha Datta, Konrad Kollnig, Nigel Shadbolt

Digital harms are widespread in the mobile ecosystem. As these devices gain ever more prominence in our daily lives, so too increases the potential for malicious attacks against in…

cs.LG2022★ 1 cited

Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire

Siddhartha Datta, Nigel Shadbolt

Malicious agents in collaborative learning and outsourced data collection threaten the training of clean models. Backdoor attacks, where an attacker poisons a model during training…

cs.LG2022

Hiding Behind Backdoors: Self-Obfuscation Against Generative Models

Siddhartha Datta, Nigel Shadbolt

Attack vectors that compromise machine learning pipelines in the physical world have been demonstrated in recent research, from perturbations to architectural components. Building…