Tag: conference
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NDSS 2025 -DUMPLING: Fine-Grained Differential JavaScript Engine Fuzzing
Session 13A: JavaScript Security Authors, Creators & Presenters: Liam Wachter (EPFL), Julian Gremminger (EPFL), Christian Wressnegger (Karlsruhe Institute of Technology (KIT)), Mathias Payer (EPFL), Flavio Toffalini (EPFL) PAPER DUMPLING: Fine-Grained Differential JavaScript Engine Fuzzing Web browsers are ubiquitous and execute untrusted JavaScript (JS) code. JS engines optimize frequently executed code through just-in-time (JIT) compilation. Subtly…
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NDSS 2025 NodeMedic-FINE: Automatic Detection And Exploit Synthesis For Node.js Vulnerabilities
Session 13A: JavaScript Security Authors, Creators & Presenters: Darion Cassel (Carnegie Mellon University), Nuno Sabino (IST & CMU), Min-Chien Hsu (Carnegie Mellon University), Ruben Martins (Carnegie Mellon University), Limin Jia (Carnegie Mellon University) PAPER NodeMedic-FINE: Automatic Detection and Exploit Synthesis for Node.js Vulnerabilities The Node.js ecosystem comprises millions of packages written in JavaScript. Many packages…
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NDSS 2025 A Comprehensive Study Of Security Risks In Deno And Its Ecosystem
Tags: access, api, attack, conference, control, Internet, network, programming, risk, rust, software, supply-chainSession 13A: JavaScript Security Authors, Creators & Presenters: Abdullah AlHamdan (CISPA Helmholtz Center for Information Security), Cristian-Alexandru Staicu (CISPA Helmholtz Center for Information Security) PAPER Welcome to Jurassic Park: A Comprehensive Study of Security Risks in Deno and its Ecosystem Node.js and its ecosystem npm are notoriously insecure, enabling the proliferation of supply chain attacks.…
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NDSS 2025 NDSS 2025 BARBIE: Robust Backdoor Detection Based On Latent Separability
Session 12D: ML Backdoors Authors, Creators & Presenters: Hanlei Zhang (Zhejiang University), Yijie Bai (Zhejiang University), Yanjiao Chen (Zhejiang University), Zhongming Ma (Zhejiang University), Wenyuan Xu (Zhejiang University) PAPER BARBIE: Robust Backdoor Detection Based On Latent Separability Backdoor attacks are an essential risk to deep learning model sharing. Fundamentally, backdoored models are different from benign…
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NDSS 2025 NDSS 2025 BARBIE: Robust Backdoor Detection Based On Latent Separability
Session 12D: ML Backdoors Authors, Creators & Presenters: Hanlei Zhang (Zhejiang University), Yijie Bai (Zhejiang University), Yanjiao Chen (Zhejiang University), Zhongming Ma (Zhejiang University), Wenyuan Xu (Zhejiang University) PAPER BARBIE: Robust Backdoor Detection Based On Latent Separability Backdoor attacks are an essential risk to deep learning model sharing. Fundamentally, backdoored models are different from benign…
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NDSS 2025 Defending Against Backdoor Attacks On Graph Neural Networks Via Discrepancy Learning
Tags: attack, backdoor, conference, defense, framework, Internet, ml, network, risk, technology, threat, vulnerabilitySession 12D: ML Backdoors Authors, Creators & Presenters: Hao Yu (National University of Defense Technology), Chuan Ma (Chongqing University), Xinhang Wan (National University of Defense Technology), Jun Wang (National University of Defense Technology), Tao Xiang (Chongqing University), Meng Shen (Beijing Institute of Technology, Beijing, China), Xinwang Liu (National University of Defense Technology) PAPER DShield: Defending…
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Hacking conference Def Con bans three people linked to Epstein
The Def Con hacking conference banned hackers Pablos Holman and Vincenzo Iozzo, as well as former MIT Media Lab director Joichi Ito, from attending the annual conference after their reported connections with Jeffrey Epstein. First seen on techcrunch.com Jump to article: techcrunch.com/2026/02/18/hacking-conference-def-con-bans-three-people-linked-to-epstein/
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NDSS 2025 Try to Poison My Deep Learning Data? Nowhere To Hide Your Trajectory Spectrum!
Session 12D: ML Backdoors Authors, Creators & Presenters: Yansong Gao (The University of Western Australia), Huaibing Peng (Nanjing University of Science and Technology), Hua Ma (CSIRO’s Data61), Zhi Zhang (The University of Western Australia), Shuo Wang (Shanghai Jiao Tong University), Rayne Holland (CSIRO’s Data61), Anmin Fu (Nanjing University of Science and Technology), Minhui Xue (CSIRO’s…
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NDSS 2025 CLIBE: Detecting Dynamic Backdoors In Transformer-based NLP Models
Session 12D: ML Backdoors Authors, Creators & Presenters: Rui Zeng (Zhejiang University), Xi Chen (Zhejiang University), Yuwen Pu (Zhejiang University), Xuhong Zhang (Zhejiang University), Tianyu Du (Zhejiang University), Shouling Ji (Zhejiang University) PAPER CLIBE: Detecting Dynamic Backdoors in Transformer-based NLP Models Backdoors can be injected into NLP models to induce misbehavior when the input text…
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NDSS 2025 LADDER: Multi-Objective Backdoor Attack Via Evolutionary Algorithm
Session 12D: ML Backdoors Authors, Creators & Presenters: Dazhuang Liu (Delft University of Technology), Yanqi Qiao (Delft University of Technology), Rui Wang (Delft University of Technology), Kaitai Liang (Delft University of Technology), Georgios Smaragdakis (Delft University of Technology) PAPER LADDER: Multi-Objective Backdoor Attack via Evolutionary Algorithm Current black-box backdoor attacks in convolutional neural networks formulate…
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Cyber Startups to Take Innovation Spotlight at RSAC 2026
As Innovation Sandbox Turns 21, AI-Based Solutions Dominate Annual Contest. Next month in San Francisco, the Innovation Sandbox at RSAC Conference will celebrate its 21st year of choosing key emerging solutions in cybersecurity. Past winners and finalists range from EDR and XDR giant SentinelOne in 2014 to cloud security phenom Wiz in 2021. First seen…
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NDSS 2025 Defending Against Membership Inference Attacks On Iteratively Pruned Deep Neural Network
Session 12C: Membership Inference Authors, Creators & Presenters: Jing Shang (Beijing Jiaotong University), Jian Wang (Beijing Jiaotong University), Kailun Wang (Beijing Jiaotong University), Jiqiang Liu (Beijing Jiaotong University), Nan Jiang (Beijing University of Technology), Md Armanuzzaman (Northeastern University), Ziming Zhao (Northeastern University) PAPER Defending Against Membership Inference Attacks on Iteratively Pruned Deep Neural Networks Model…
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MCSC 2026: ‘Politik und Wirtschaft müssen zusammenarbeiten”
Tags: bsi, china, conference, control, cyber, cybercrime, cybersecurity, cyersecurity, north-korea, office, usaDas Motto der Munich Cybersecurity Conference 2026: “Command Control, Really? Confronting The Illusion Of Deterrence In The Age Of Relentless Cyber Threats.” Julia MutzbauerAuch in diesem Jahr waren wieder zahlreiche internationale Institutionen auf der Münchner Cybersicherheitskonferenz (MCSC) vertreten. Darunter das Weiße Haus, FBI, Europol, OECD, BSI, BND und die Europäische Kommission sowie das National Cybersecurity…
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Cybersecurity Excellence Awards Reveal Nomination Shift from AI Hype to Governance Execution
Washington DC, USA, February 17th, 2026, CyberNewswire The Cybersecurity Excellence Awards today published early nomination insights from the 2026 program, highlighting a shift in vendor emphasis from broad AI positioning toward governance frameworks, identity architecture, and measurable accountability. Produced by Cybersecurity Insiders, the analysis draws on more than 200 submissions received ahead of RSA Conference…
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NDSS 2025 SiGuard: Guarding Secure Inference With Post Data Privacy
Session 12C: Membership Inference Authors, Creators & Presenters: Xinqian Wang (RMIT University), Xiaoning Liu (RMIT University), Shangqi Lai (CSIRO Data61), Xun Yi (RMIT University), Xingliang Yuan (University of Melbourne) PAPER SIGuard: Guarding Secure Inference with Post Data Privacy Secure inference is designed to enable encrypted machine learning model prediction over encrypted data. It will ease…
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NDSS 2025 A Method To Facilitate Membership Inference Attacks In Deep Learning Models
Session 12C: Membership Inference Authors, Creators & Presenters: Zitao Chen (University of British Columbia), Karthik Pattabiraman (University of British Columbia) PAPER A Method to Facilitate Membership Inference Attacks in Deep Learning Models Modern machine learning (ML) ecosystems offer a surging number of ML frameworks and code repositories that can greatly facilitate the development of ML…
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NDSS 2025 Diffence: Fencing Membership Privacy With Diffusion Models
Session 12C: Membership Inference Authors, Creators & Presenters: PAPER Yuefeng Peng (University of Massachusetts Amherst), Ali Naseh (University of Massachusetts Amherst), Amir Houmansadr (University of Massachusetts Amherst) Deep learning models, while achieving remarkable performances across various tasks, are vulnerable to membership inference attacks (MIAs), wherein adversaries identify if a specific data point was part of…
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NDSS 2025 Diffence: Fencing Membership Privacy With Diffusion Models
Session 12C: Membership Inference Authors, Creators & Presenters: PAPER Yuefeng Peng (University of Massachusetts Amherst), Ali Naseh (University of Massachusetts Amherst), Amir Houmansadr (University of Massachusetts Amherst) Deep learning models, while achieving remarkable performances across various tasks, are vulnerable to membership inference attacks (MIAs), wherein adversaries identify if a specific data point was part of…
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Why should IT managers feel relieved by advanced secrets management?
Tags: conferenceWhy Should IT Managers Prioritize Non-Human Identities and Secrets Security Management? How well do you know the invisible workforce within your organization? No, it’s not the human workforce that charms at meetings or brainstorms ideas in conference rooms. Instead, it’s the machine identities”, also known as Non-Human Identities (NHIs)”, that silently perform myriad tasks, from…
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NDSS 2025 Black-Box Membership Inference Attacks Against Fine-Tuned Diffusion Models
Session 12C: Membership Inference Authors, Creators & Presenters: Yan Pang (University of Virginia), Tianhao Wang (University of Virginia) PAPER Black-box Membership Inference Attacks against Fine-tuned Diffusion Models With the rapid advancement of diffusion-based image-generative models, the quality of generated images has become increasingly photorealistic. Moreover, with the release of high-quality pre-trained image-generative models, a growing…
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Cybersicherheits-Direktorentreffen und Cyber Security Conference in München: Automatisierte Verteidigung im Fokus
First seen on datensicherheit.de Jump to article: www.datensicherheit.de/cybersicherheits-direktorentreffen-cyber-security-conference-muenchen-automatisierung-verteidigung
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NDSS 2025 Automated Mass Malware Factory
Session 12B: Malware Authors, Creators & Presenters: Heng Li (Huazhong University of Science and Technology), Zhiyuan Yao (Huazhong University of Science and Technology), Bang Wu (Huazhong University of Science and Technology), Cuiying Gao (Huazhong University of Science and Technology), Teng Xu (Huazhong University of Science and Technology), Wei Yuan (Huazhong University of Science and Technology),…
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NDSS 2025 Density Boosts Everything
Tags: ai, attack, conference, cybersecurity, detection, Internet, malware, military, network, resilience, strategy, trainingSession 12B: Malware Authors, Creators & Presenters: Jianwen Tian (Academy of Military Sciences), Wei Kong (Zhejiang Sci-Tech University), Debin Gao (Singapore Management University), Tong Wang (Academy of Military Sciences), Taotao Gu (Academy of Military Sciences), Kefan Qiu (Beijing Institute of Technology), Zhi Wang (Nankai University), Xiaohui Kuang (Academy of Military Sciences) PAPER Density Boosts Everything:…
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NATO must impose costs on Russia, China over cyber and hybrid attacks, says deputy chief
Speaking at the Munich Cyber Security Conference, Radmila Shekerinska said the security environment has become “more complex” and “more contested,” with rivals operating at the same time in the physical and digital worlds. First seen on therecord.media Jump to article: therecord.media/nato-must-impost-costs-russia-china-cyber-hybrid-deputy-secretary
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NATO must impose costs on Russia, China over cyber and hybrid attacks, says deputy chief
Speaking at the Munich Cyber Security Conference, Radmila Shekerinska said the security environment has become “more complex” and “more contested,” with rivals operating at the same time in the physical and digital worlds. First seen on therecord.media Jump to article: therecord.media/nato-must-impost-costs-russia-china-cyber-hybrid-deputy-secretary
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US needs to impose ‘real costs’ on bad actors, State Department cyber official says
At the Munich Cyber Security Conference, senior U.S. officials signaled that a defensive cyber crouch is giving way to something closer to Cold Warstyle deterrence, an effort to convince adversaries that the costs of hacking the United States will outweigh the benefits. First seen on therecord.media Jump to article: therecord.media/usa-cyber-actors-consequences
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Munich Security Conference: Cyber Threats Lead G7 Risk Index, Disinformation Ranks Third
G7 countries ranked cyber-attacks as the top risk, while BICS members placed cyber threats only as the eighth most pressing risk First seen on infosecurity-magazine.com Jump to article: www.infosecurity-magazine.com/news/munich-security-index-cyberattacks/
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Munich Security Conference: Cyber Threats Lead G7 Risk Index, Disinformation Ranks Third
G7 countries ranked cyber-attacks as the top risk, while BICS members placed cyber threats only as the eighth most pressing risk First seen on infosecurity-magazine.com Jump to article: www.infosecurity-magazine.com/news/munich-security-index-cyberattacks/
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Munich Security Conference: Cyber Threats Lead G7 Risk Index, Disinformation Ranks Third
G7 countries ranked cyber-attacks as the top risk, while BICS members placed cyber threats only as the eighth most pressing risk First seen on infosecurity-magazine.com Jump to article: www.infosecurity-magazine.com/news/munich-security-index-cyberattacks/
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NDSS 2025 PBP: Post-Training Backdoor Purification For Malware Classifiers
Session 12B: Malware Authors, Creators & Presenters: Dung Thuy Nguyen (Vanderbilt University), Ngoc N. Tran (Vanderbilt University), Taylor T. Johnson (Vanderbilt University), Kevin Leach (Vanderbilt University) PAPER PBP: Post-Training Backdoor Purification for Malware Classifiers In recent years, the rise of machine learning (ML) in cybersecurity has brought new challenges, including the increasing threat of backdoor…