Efficient defenses against adversarial atacks
- Valentina Zantedeschi
- Maria-Irina Nicolae
- et al.
- 2017
- AISec 2017
Publications
Date
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216 results for Adversarial Robustness and Privacy
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
TRAD: Task-agnostic Representation of the Activation Space in Deep Neural Networks
- 2023
- IJCAI 2023
Applying Artificial Intelligence Privacy Technology in the Healthcare Domain
- Abigail Goldsteen
- Ariel Farkash
- et al.
- 2022
- MIE 2022
CARBEN: Composite Adversarial Robustness Benchmark
- Lei Hsiung
- Yun-Yun Tsai
- et al.
- 2022
- IJCAI 2022
Anonymizing Machine Learning Models
- Abigail Goldsteen
- Micha Moffie
- et al.
- 2021
- ESORICS 2021
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design
- Mayoore S. Jaiswal
- Bumsoo Kang
- et al.
- 2020
- MLSys 2020
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation
- Tomas Bueno Momcilovic
- Beat Buesser
- et al.
- 2024
- xAI 2024
Identifying Audio Adversarial Examples via Anomalous Pattern Detection
- Victor Akinwande
- Celia Cintas
- et al.
- 2020
- KDD 2020