Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning
- Zhiyuan He
- Yijun Yang
- et al.
- 2024
- ICML 2024
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218 results for Adversarial Robustness and Privacy
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- Irene Ko
- Pin-Yu Chen
- et al.
- 2024
- ICML 2024
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
- Zhi-yi Chin
- Chieh-ming Jiang
- et al.
- 2024
- ICML 2024
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation
- Tomas Bueno Momcilovic
- Beat Buesser
- et al.
- 2024
- xAI 2024
Improving Membership Inference Attacks against Classification Models
- Shlomit Shachor
- Natalia Razinkov
- et al.
- 2024
- KES-IDT 2024
Overload: Latency Attacks on Object Detection for Edge Devices
- Erh-Chung Chen
- Pin-Yu Chen
- et al.
- 2024
- CVPR 2024
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
- Jiabao Ji
- Bairu Hou
- et al.
- 2024
- NAACL 2024
Evaluating the Impact of Skin Tone Representation on Out-of-Distribution Detection Performance in Dermatology
- Assala Benmalek
- Celia Cintas
- et al.
- 2024
- ISBI 2024
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
- Ming-yu Chung
- Sheng-yen Chou
- et al.
- 2024
- ICLR 2024
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
- Xiangyu Qi
- Yi Zeng
- et al.
- 2024
- ICLR 2024