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researcher

G. Kesidis

82 papers hereh-index 417.2k citations418 works total

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

author position
  • sole author4
  • first author15
  • middle author26
  • last author37

Across the 82 of 82 papers where every author was matched, so the position is known.

fields
  • cs.LG19
  • cs.PF17
  • cs.CR11
  • cs.NI11
  • cs.GT7
  • cs.CV4
same name
  • G. Kesidis — 1 paper, h 1
  • G. Kesidis — 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
20082026
most citedAn MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automati c Prognosis of MCI Patients

42 citations · 207 across the 76 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.PF2026

Caching Policies based on Object Sizes

Ridwanul Hasan Tanvir, George Kesidis

We evaluate eviction policies that consider the lengths of the objects being cached for different cache sizes (cost) and different workloads. Workloads include the Independent Refe…

cs.PF2026

Performance and Cost-Aware Cache Provisioning

Ridwanul Tanvir, George Kesidis

While traditional cache policy evaluations fix capacity - often at 0.1% of the dataset - and measure the resulting hit rate, practical edge-cloud deployments require balancing both…

cs.CR2026

CSO-LLM: Class Subspace Orthogonalization for Post-Training Backdoor Detection and Trigger Inversion in LLMs

Zhengxing Li, David J. Miller, Guangmingmei Yang +1

While post-training backdoor detection and trigger inversion schemes have been developed for AIs used e.g. for images, there is a paucity of such methods for LLMs. First, the LLM i…

cs.LG2026

A Novel Latent-Class Attack and its Detection by Class Subspace Orthogonalization

Guangmingmei Yang, David J. Miller, George Kesidis

Deep learning, which in general relies on voluminous amounts of training data, is vulnerable to data poisoning attacks, including error-generic attacks and backdoors (Trojans). In…

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