Yunhan Jia

Network and Distributed System Security Symposium · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yunhan Jia trusts overall

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

  1. Helen Nissenbaum
  2. Aurélien Francillon

Papers from Yunhan Jia's perspective

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

  1. Axiomatic Attribution for Deep Networks
  2. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  3. Towards Deep Learning Models Resistant to Adversarial Attacks
  4. Learning Important Features Through Propagating Activation Differences
  5. Understanding Black-box Predictions via Influence Functions
  6. These aren't the droids you're looking for: retrofitting android to protect data from imperious applications (Conference on Computer and Communications Security)
  7. How to Explain Individual Classification Decisions
  8. TaintDroid (USENIX Symposium on Operating Systems Design and Implementation)
  9. A Unified Approach to Interpreting Model Predictions
  10. Towards A Rigorous Science of Interpretable Machine Learning

Their papers