Raz Lapid - RankMe

27 papers Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BenchOverflow: Measuring Overflow in Large Language Models via Plain-Text Prompts. CoRR Erin Feiglin, Nir Hutnik, Raz Lapid
2026	J	`jnl`	BenchOverflow: Measuring Overflow in Large Language Models via Plain-Text Prompts. Trans. Mach. Learn. Res. Erin Feiglin, Nir Hutnik, Raz Lapid
2025	J	`jnl`	Activation Steering for Masked Diffusion Language Models. CoRR Adi Shnaidman, Erin Feiglin, Osher Yaari, Efrat Mentel, Amit Levi, Raz Lapid
2025	J	`jnl`	Breaking Audio Large Language Models by Attacking Only the Encoder: A Universal Targeted Latent-Space Audio Attack. CoRR Roee Ziv, Raz Lapid, Moshe Sipper
2025	J	`jnl`	Don't Lag, RAG: Training-Free Adversarial Detection Using RAG. CoRR Roie Kazoom, Raz Lapid, Moshe Sipper, Ofer Hadar
2025	J	`jnl`	Losing Control: Data Poisoning Attack on Guided Diffusion via ControlNet. CoRR Raz Lapid, Almog Dubin
2025	J	`jnl`	On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective. Trans. Mach. Learn. Res. Tao Daniel Alter, Raz Lapid, Moshe Sipper
2025	—	`conf`	Pulling Back the Curtain: Unsupervised Adversarial Detection via Contrastive Auxiliary Networks. ICCVW Eylon Mizrahi, Raz Lapid, Moshe Sipper
2025	J	`jnl`	Pulling Back the Curtain: Unsupervised Adversarial Detection via Contrastive Auxiliary Networks. CoRR Eylon Mizrahi, Raz Lapid, Moshe Sipper
2025	J	`jnl`	You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations. CoRR Amit Levi, Raz Lapid, Rom Himelstein, Yaniv Nemcovsky, Ravid Shwartz-Ziv, Avi Mendelson
2024	J	`jnl`	Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors. CoRR Raz Lapid, Almog Dubin, Moshe Sipper
2024	J	`jnl`	On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective. CoRR Tao Daniel Alter, Raz Lapid, Moshe Sipper
2024	J	`jnl`	What's in an AI's Mind's Eye? We Must Know. Computer Moshe Sipper, Raz Lapid
2024	J	`jnl`	XAI-Based Detection of Adversarial Attacks on Deepfake Detectors. CoRR Ben Pinhasov, Raz Lapid, Rony Ohayon, Moshe Sipper, Yehudit Aperstein
2024	J	`jnl`	XAI-Based Detection of Adversarial Attacks on Deepfake Detectors. Trans. Mach. Learn. Res. Ben Pinhasov, Raz Lapid, Rony Ohayon, Moshe Sipper, Yehudit Aperstein
2023	—	`conf`	A Melting Pot of Evolution and Learning. GPTP Moshe Sipper, Achiya Elyasaf, Tomer Halperin, Zvika Haramaty, Raz Lapid, Eyal Segal, Itai Tzruia, Snir Vitrack Tamam
2023	J	`jnl`	A Melting Pot of Evolution and Learning. CoRR Moshe Sipper, Achiya Elyasaf, Tomer Halperin, Zvika Haramaty, Raz Lapid, Eyal Segal, Itai Tzruia, Snir Vitrack Tamam
2023	J	`jnl`	Foiling Explanations in Deep Neural Networks. Trans. Mach. Learn. Res. Snir Vitrack Tamam, Raz Lapid, Moshe Sipper
2023	J	`jnl`	I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models. CoRR Raz Lapid, Moshe Sipper
2023	—	`conf`	I See Dead People: Gray-Box Adversarial Attack on Image-to-Text Models. PKDD/ECML Workshops (5) Raz Lapid, Moshe Sipper
2023	J	`jnl`	Open Sesame! Universal Black Box Jailbreaking of Large Language Models. CoRR Raz Lapid, Ron Langberg, Moshe Sipper
2023	J	`jnl`	Patch of Invisibility: Naturalistic Black-Box Adversarial Attacks on Object Detectors. CoRR Raz Lapid, Moshe Sipper
2022	J	`jnl`	An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Convolutional Neural Networks. Algorithms Raz Lapid, Zvika Haramaty, Moshe Sipper
2022	J	`jnl`	Attackar: Attack of the Evolutionary Adversary. CoRR Raz Lapid, Zvika Haramaty, Moshe Sipper
2022	J	`jnl`	Evolution of Activation Functions for Deep Learning-Based Image Classification. CoRR Raz Lapid, Moshe Sipper
2022	—	`conf`	Evolution of activation functions for deep learning-based image classification. GECCO Companion Raz Lapid, Moshe Sipper
2022	J	`jnl`	Foiling Explanations in Deep Neural Networks. CoRR Snir Vitrack Tamam, Raz Lapid, Moshe Sipper