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David Lo

4 papers hereh-index 352 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author1

Across the 1 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.SE2
same name
  • David Lo — 47 papers, h 34
  • David Lo — 44 papers, h 24
  • David Lo — 18 papers, h 1
  • David Lo — 14 papers, h 7
  • David Lo — 13 papers, h 3
  • David Lo — 11 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTowards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking

14 citations · 22 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2024

Inferring Properties of Graph Neural Networks

Dat Nguyen, Hieu M. Vu, Cong-Thanh Le +4

We propose GNNInfer, the first automatic property inference technique for GNNs. To tackle the challenge of varying input structures in GNNs, GNNInfer first identifies a set of repr…

cs.SE2023★ 7 cited

Adversarial Attacks on Code Models with Discriminative Graph Patterns

Thanh-Dat Nguyen, Yang Zhou, Xuan Bach D. Le +2

Pre-trained language models of code are now widely used in various software engineering tasks such as code generation, code completion, vulnerability detection, etc. This, in turn,…

cs.SE2023★ 14 cited

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking

Zichong Wang, Yang Zhou, David Lo +1

The increasing use of Machine Learning (ML) software can lead to unfair and unethical decisions, thus fairness bugs in software are becoming a growing concern. Addressing these fai…

cs.LG2023★ 1 cited

Regret-Based Defense in Adversarial Reinforcement Learning

Roman Belaire, Pradeep Varakantham, Thanh Nguyen +1

Deep Reinforcement Learning (DRL) policies have been shown to be vulnerable to small adversarial noise in observations. Such adversarial noise can have disastrous consequences in s…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.