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Changjiang Li

Stony Brook

31 papers hereh-index 13515 citations40 works total

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

author position
  • first author5
  • middle author25

Across the 30 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CR16
  • cs.CL4
  • cs.LG4
  • cs.AI3
  • cs.CV3
  • cs.SE1
affiliations
  • Stony Brook
same name
  • Changjiang Li — 1 paper
  • Changjiang Li — 1 paper, h 1

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

activity
20212026
most citedSeeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era

13 citations · 53 across the 29 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.LG2022★ 9 cited

Hijack Vertical Federated Learning Models As One Party

Pengyu Qiu, Xuhong Zhang, Shouling Ji +4

Vertical federated learning (VFL) is an emerging paradigm that enables collaborators to build machine learning models together in a distributed fashion. In general, these parties h…

cs.CR2022★ 3 cited

An Embarrassingly Simple Backdoor Attack on Self-supervised Learning

Changjiang Li, Ren Pang, Zhaohan Xi +4

As a new paradigm in machine learning, self-supervised learning (SSL) is capable of learning high-quality representations of complex data without relying on labels. In addition to…

cs.AI2022★ 2 cited

Reasoning over Multi-view Knowledge Graphs

Zhaohan Xi, Ren Pang, Changjiang Li +4

Recently, knowledge representation learning (KRL) is emerging as the state-of-the-art approach to process queries over knowledge graphs (KGs), wherein KG entities and the query are…

cs.CR2022★ 13 cited

Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era

Changjiang Li, Li Wang, Shouling Ji +4

Facial Liveness Verification (FLV) is widely used for identity authentication in many security-sensitive domains and offered as Platform-as-a-Service (PaaS) by leading cloud vendor…

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