Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation
- Tomas Bueno Momcilovic
- Beat Buesser
- et al.
- 2024
- xAI 2024
Publications
225 results for Adversarial Robustness and Privacy
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
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
- Xiangyu Qi
- Yi Zeng
- et al.
- 2024
- ICLR 2024
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
- Ming-yu Chung
- Sheng-yen Chou
- et al.
- 2024
- ICLR 2024
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems
- Zishen Wan
- Nandhini Chandramoorthy
- et al.
- 2024
- ASPLOS 2024
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
- Chulin Xie
- Pin-Yu Chen
- et al.
- 2024
- IEEE SaTML 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- Shengwei An
- Sheng-Yen Chou
- et al.
- 2024
- AAAI 2024