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Qi Zhao

Karlsruhe Institute of Technology (KIT)

4 papers hereh-index 446 citations10 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.LG3
  • cs.CV1
affiliations
  • Karlsruhe Institute of Technology (KIT)
HomepageORCID 0000-0003-0944-8058
same name
  • Qi Zhao — 12 papers, h 6
  • Qi Zhao — 11 papers, h 3
  • Qi Zhao — 8 papers, h 2
  • Qi Zhao — 6 papers, h 4
  • Qi Zhao — 6 papers, h 2
  • Qi Zhao — 6 papers, h 5

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
20242026
most citedTwo Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor

3 citations · 3 across the 2 of their papers we have counts for

collaborators

4 papers

cs.LG2026

Anti-Backdoor Coreset Selection via Cumulative Entropy

Qi Zhao, Christian Wressnegger

Recent training-time defenses against neural backdoors isolate a benign subset from poisoned training data, to learn a backdoor-free model from it. In this paper, we formulate this…

cs.LG2026★ 3 cited

Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor

Qi Zhao, Christian Wressnegger

The community has recently developed various training-time defenses to counter neural backdoors introduced through data poisoning. In light of the observation that a model learns p…

cs.CV2025

S2AP: Score-space Sharpness Minimization for Adversarial Pruning

Giorgio Piras, Qi Zhao, Fabio Brau +3

Adversarial pruning methods have emerged as a powerful tool for compressing neural networks while preserving robustness against adversarial attacks. These methods typically follow…

cs.LG2024

Holistic Adversarially Robust Pruning

Qi Zhao, Christian Wressnegger

Neural networks can be drastically shrunk in size by removing redundant parameters. While crucial for the deployment on resource-constraint hardware, oftentimes, compression comes…

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