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Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Sabine Süsstrunk, Mathieu Salzmann, Yulun Jiang, Chen Liu, Zhuoyi Huang

We address the problem of stably and efficiently training a deep neural network robust to adversarial perturbations bounded by an

l_1

norm. We demonstrate that achieving robustness against

l_1

-bounded perturbations is more challenging than in the

l_2

...

2023

Architecture matérielle

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Digital manufacturing of personalised footwear with embedded sensors

Robust Analog Multisensory Array System for Lossy Capacitive Sensors Over Long Distances

Fast parametric analysis of trimmed multi-patch isogeometric Kirchhoff-Love shells using a local reduced basis method

Portable impedance-sensing device for microorganism characterization in the field

The arrow-of-time in neuroimaging time series identifies causal triggers of brain function

IS THERE AN EFFECT OF MACULAR PIGMENT DENSITY ON DISCOMFORT GLARE IN INDOOR DAYLIGHT CONDITIONS?

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

A Conceptual Framework for Integrating Conversational Agents in Digital Education

Plasmonic Nanofluids: Enhancing Photothermal Gradients toward Liquid Robots

Electrode Impact on the Electrical Breakdown of Dielectric Elastomer Thin Films

Robust Analog Multisensory Array System for Lossy Capacitive Sensors Over Long Distances

Fast parametric analysis of trimmed multi-patch isogeometric Kirchhoff-Love shells using a local reduced basis method

Portable impedance-sensing device for microorganism characterization in the field

Plasmonic Nanofluids: Enhancing Photothermal Gradients toward Liquid Robots

A Conceptual Framework for Integrating Conversational Agents in Digital Education

Digital manufacturing of personalised footwear with embedded sensors

IS THERE AN EFFECT OF MACULAR PIGMENT DENSITY ON DISCOMFORT GLARE IN INDOOR DAYLIGHT CONDITIONS?

Electrode Impact on the Electrical Breakdown of Dielectric Elastomer Thin Films

The arrow-of-time in neuroimaging time series identifies causal triggers of brain function

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks