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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

Mémoire flash

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

LAQy: Efficient and Reusable Query Approximations via Lazy Sampling

Impact of Interface Traps in Floating-Gate Memory Based on Monolayer MoS2

AstriFlash: A Flash-Based System for Online Services

In-Memory Hardware and Architectural Extensions for Workloads Acceleration

Flexure pivot based system

Tuning paradigm of external stimuli driven electronic, optical and magnetic properties in hybrid perovskites and metalorganic complexes br

Method for reading and writing unreliable memories and a corresponding memory controller device and memory

Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS2

Performance Analysis of Energy Balancing Methods for Matrix Modular Multilevel Converters

LAQy: Efficient and Reusable Query Approximations via Lazy Sampling

Flexure pivot based system

AstriFlash: A Flash-Based System for Online Services

In-Memory Hardware and Architectural Extensions for Workloads Acceleration

Tuning paradigm of external stimuli driven electronic, optical and magnetic properties in hybrid perovskites and metalorganic complexes br

Method for reading and writing unreliable memories and a corresponding memory controller device and memory

Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS2

Performance Analysis of Energy Balancing Methods for Matrix Modular Multilevel Converters

Impact of Interface Traps in Floating-Gate Memory Based on Monolayer MoS2

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