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researcher

Asja Fischer

7 papers hereh-index 118 citations8 works total

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

author position
  • middle author2
  • last author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG3
  • cs.CR1
same name
  • Asja Fischer — 44 papers, h 27
  • Asja Fischer — 12 papers, h 5
  • Asja Fischer — 6 papers, h 3
  • Asja Fischer — 4 papers, h 2
  • Asja Fischer — 3 papers, h 2

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
20232026
most citedUncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation

13 citations · 13 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

Revisiting Neural Activation Coverage for Uncertainty Estimation

Benedikt Franke, Nils Förster, Frank Köster +3

Neural activation coverage (NAC) is a recently-proposed technique for out-of-distribution detection and generalization. We build upon this promising foundation and extend the metho…

cs.LG2026

Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks

Matías Pizarro, Raghavan Narasimhan, Jonas Killian +1

With the increasing deployment of automated and agentic systems, ensuring the adversarial robustness of automatic speech recognition (ASR) models has become highly relevant. We obs…

cs.LG2024

Integrating uncertainty quantification into randomized smoothing based robustness guarantees

Sina Däubener, Kira Maag, David Krueger +1

Deep neural networks have proven to be extremely powerful, however, they are also vulnerable to adversarial attacks which can cause hazardous incorrect predictions in safety-critic…

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