Andrei Kucharavy

21 papers Misc 1Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	From Model to Breach: Towards Actionable LLM-Generated Vulnerabilities Reporting. CoRR Cyril Vallez, Alexander Sternfeld, Andrei Kucharavy, Ljiljana Dolamic
2025	J	`jnl`	Getting Your Indices in a Row: Full-Text Search for LLM Training Data for Real World. CoRR Ines Altemir Marinas, Anastasiia Kucherenko, Alexander Sternfeld, Andrei Kucharavy
2025	—	`conf`	Low-Perplexity LLM-Generated Sequences and Where To Find Them. ACL (4) Arthur Wuhrmann, Andrei Kucharavy, Anastasiia Kucherenko
2025	J	`jnl`	Low-Perplexity LLM-Generated Sequences and Where To Find Them. CoRR Arthur Wuhrmann, Anastasiia Kucherenko, Andrei Kucharavy
2025	—	`conf`	Low-Resource Languages LLM Disinformation is Within Reach: The Case of Walliserdeutsch. EMNLP (Findings) Andrei Kucharavy, Sherine Seppey, Cyril Vallez, Dimitri Percia David, Ljiljana Dolamic
2025	J	`jnl`	Monitoring Transformative Technological Convergence Through LLM-Extracted Semantic Entity Triple Graphs. CoRR Alexander Sternfeld, Andrei Kucharavy, Dimitri Percia David, Alain Mermoud, Julian Jang-Jaccard, Nathan Monnet
2025	J	`jnl`	TypePilot: Leveraging the Scala Type System for Secure LLM-generated Code. CoRR Alexander Sternfeld, Andrei Kucharavy, Ljiljana Dolamic
2024	J	`jnl`	LLM Detectors Still Fall Short of Real World: Case of LLM-Generated Short News-Like Posts. CoRR Henrique Da Silva Gameiro, Andrei Kucharavy, Ljiljana Dolamic
2024	—	`conf`	LLM-Resilient Bibliometrics: Factual Consistency Through Entity Triplet Extraction. EEKE/AII@iConference Alexander Sternfeld, Andrei Kucharavy, Dimitri Percia David, Alain Mermoud, Julian Jang-Jaccard
2023	—	`conf`	Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search. GECCO Companion Andrei Kucharavy, Matteo Monti, Rachid Guerraoui, Ljiljana Dolamic
2023	J	`jnl`	Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search. CoRR Andrei Kucharavy, Matteo Monti, Rachid Guerraoui, Ljiljana Dolamic
2023	J	`jnl`	Evolutionary Algorithms in the Light of SGD: Limit Equivalence, Minima Flatness, and Transfer Learning. CoRR Andrei Kucharavy, Rachid Guerraoui, Ljiljana Dolamic
2023	J	`jnl`	Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense. CoRR Andrei Kucharavy, Zachary Schillaci, Loïc Maréchal, Maxime Würsch, Ljiljana Dolamic, Remi Sabonnadiere, Dimitri Percia David, Alain Mermoud, Vincent Lenders
2023	—	`conf`	LLM-Based Entity Extraction Is Not for Cybersecurity. EEKE/AII@JCDL Maxime Würsch, Andrei Kucharavy, Dimitri Percia David, Alain Mermoud
2023	J	`jnl`	LLMs Perform Poorly at Concept Extraction in Cyber-security Research Literature. CoRR Maxime Würsch, Andrei Kucharavy, Dimitri Percia David, Alain Mermoud
2023	J	`jnl`	Stochastic Parrots Looking for Stochastic Parrots: LLMs are Easy to Fine-Tune and Hard to Detect with other LLMs. CoRR Henrique Da Silva Gameiro, Andrei Kucharavy, Rachid Guerraoui
2022	J	`jnl`	Needle In A Haystack, Fast: Benchmarking Image Perceptual Similarity Metrics At Scale. CoRR Cyril Vallez, Andrei Kucharavy, Ljiljana Dolamic
2021	Misc	`conf`	Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs? RANLP Kevin Blin, Andrei Kucharavy
2021	J	`jnl`	Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs? CoRR Kevin Blin, Andrei Kucharavy
2020	J	`jnl`	Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training. CoRR Andrei Kucharavy, El Mahdi El Mhamdi, Rachid Guerraoui
2017	J	`jnl`	Cytosolic proteostasis through importing of misfolded proteins into mitochondria. Nat. Linhao Ruan, Chuankai Zhou, Erli Jin, Andrei Kucharavy, Ying Zhang, Zhihui Wen, Laurence Florens, Rong Li