Is ordered weighted ℓ1 regularized regression robust to adversarial perturbation? a case study on Oscar
- Pin-Yu Chen
- Bhanukiran Vinzamuri
- et al.
- 2018
- GlobalSIP 2018
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212 results for Adversarial Robustness and Privacy
ADMM attack: An enhanced adversarial attack for deep neural networks with undetectable distortions
- Pu Zhao
- Kaidi Xu
- et al.
- 2019
- ASP-DAC 2019
An ADMM-based universal framework for adversarial attacks on deep neural networks
- Pu Zhao
- Yanzhi Wang
- et al.
- 2018
- MM 2018
Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning
- Richard Tomsett
- Amy Widdicombe
- et al.
- 2018
- FUSION 2018
On the Limitation of MagNet Defense Against L1-Based Adversarial Examples
- Pei Hsuan Lu
- Pin-Yu Chen
- et al.
- 2018
- DSN-W 2018
Weakly supervised audio source separation via spectrum energy preserved Wasserstein learning
- Ning Zhang
- Junchi Yan
- et al.
- 2018
- IJCAI 2018
SYNERGY: Rethinking Secure-Memory Design for Error-Correcting Memories
- Gururaj Saileshwar
- Prashant J. Nair
- et al.
- 2018
- HPCA 2018
Efficient defenses against adversarial atacks
- Valentina Zantedeschi
- Maria-Irina Nicolae
- et al.
- 2017
- AISec 2017
Privacy preserving explanations for hierarchical time series forecasts
- Surya Shravan Kumar Sajja
- Sumanta Mukherjee
- et al.
- 2021
- INFORMS 2021
MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks
- 2024
- AIES 2024