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20242026
most citedWatermarking Without Standards Is Not AI Governance

1 citations · 1 across the 12 of their papers we have counts for

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cs.CR2026

The End of Trust: How Agentic AI Breaks Security Assumptions

Osama Zafar, Alexander Nemecek, Erman Ayday

For decades, the security of digital interaction has rested on an unacknowledged economic constraint. Attackers faced a tradeoff between the fidelity of a deception and the scale a…

cs.CR2026

Authenticated Contradictions from Desynchronized Provenance and Watermarking

Alexander Nemecek, Hengzhi He, Guang Cheng +1

Cryptographic provenance standards such as C2PA and invisible watermarking are positioned as complementary defenses for content authentication, yet the two verification layers are…

cs.CR2026

Topic-Based Watermarks for Large Language Models

Alexander Nemecek, Yuzhou Jiang, Erman Ayday

The indistinguishability of large language model (LLM) output from human-authored content poses significant challenges, raising concerns about potential misuse of AI-generated text…

cs.CR2026

Cluster-Aware Attacks on Graph Watermarks

Alexander Nemecek, Emre Yilmaz, Erman Ayday

Graph-structured datasets are increasingly central to sensitive applications spanning social networks, biomedical research, and cryptographic systems. As organizations share these…

cs.CR20261 cited

Watermarking Without Standards Is Not AI Governance

Alexander Nemecek, Yuzhou Jiang, Erman Ayday

Watermarking has emerged as a leading technical proposal for attributing generative AI content and is increasingly cited in global governance frameworks. This position paper argues…

cs.CR2026

Neighborhood Blending: A Lightweight Inference-Time Defense Against Membership Inference Attacks

Osama Zafar, Shaojie Zhan, Tianxi Ji +1

In recent years, the widespread adoption of Machine Learning as a Service (MLaaS), particularly in sensitive environments, has raised considerable privacy concerns. Of particular i…