Ben Nassi

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it

Whom Ben Nassi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Bryan Klimt

Papers from Ben Nassi's perspective

Ordered by how strongly the researchers Ben Nassi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Extracting Training Data from Large Language Models
2. Attention is All you Need (Neural Information Processing Systems)
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. ImageNet classification with deep convolutional neural networks
5. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Neural Information Processing Systems)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking (2024)